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Verdane

Job description The team is organised into two highly collaborative sub-teams: Project Management and Coverage. The Project Management team, which you will be part of, consists of seven professionals based in Stockholm, Munich and London. The team works across the full investor relations lifecycle, with responsibility for fundraising materials, investor due diligence, communications, reporting and key investor events.]]> Your responsibilities Marketing materials: Contribute to the creation, refinement and maintenance of investor-facing materials, including pitch decks and fundraising materials. Due diligence: Assist in drafting responses to investor due diligence questionnaires and help maintain the firm’s centralised database of standard answers. Investor communications: Support the preparation of written communications for investors, including updates on new investments, exits and other key milestones. Events: Contribute to the preparation of materials and coordination of logistics for major investor events, such as the Annual General Meeting (AGM) and LP Advisory Committee (LPAC) meetings. In addition, you will gain exposure to broader Investor Relations processes, including quarterly reporting, co-investment coordination and ad-hoc investor requests, and work closely with colleagues across Verdane.]]> Your profile Currently pursuing or recently completed a Master’s degree Relevant internship experience in the financial sector (minimum 6 months), for example in Private Equity, Investment Banking, a Placement Agent, Asset Management or financially focused Consulting Comfortable using AI tools and digital technologies to support research, content creation and process efficiency; experience working with data is a strong advantage Advanced Microsoft Office skills, particularly PowerPoint and Excel Fluent in spoken and written English; German or a Nordic language is an advantage Strong organisational and project management skills, with the ability to take ownership, prioritise and manage multiple workstreams in a fast-paced environment Strong communication and interpersonal skills, with the ability to collaborate effectively across a large, international and decentralised team You are curious, proactive and eager to learn, with a strong attention to detail and a high standard for your work. You enjoy working collaboratively but are equally comfortable taking ownership and solving problems independently. You thrive in an international, fast-paced environment and bring a pragmatic, can-do attitude to your work]]> Our corporate values You will be a perfect fit if our corporate values resonate with you: Get things done: We actively work to shorten decision making cycles, always completing our set tasks with quality. We prioritise what lies before us in order to ensure that everything we set out to accomplish is done well, rather than taking on too many things at once. Dare to be different: We are bold in our thinking and challenge the status quo. We treasure differences of opinion and value complementary perspectives as we seek creative solutions to complex problems. Love what we do: We are genuinely committed and passionately curious, entrepreneurial in spirit and deed – the best idea wins. Respect people and the planet: We act with integrity and seek to build trust in all relations. We show responsibility and aspire to be on the right side of history, helping to move our industry towards more sustainable, long-term thinking. Verdane is committed to creating a diverse, equitable, and inclusive working environment and we actively seek for qualified candidates regardless of race, gender identity, sexual orientation, ethnicity, religion, national origin, disability, or age. Please note that applications are reviewed on an ongoing basis; early application is encouraged.]]>

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE Compute allocation is a technical judgment problem. Research teams have different goals, workloads have different requirements, and available resources rarely match every need at once. Progress depends on understanding those constraints and finding ways to accomplish more within them. In this role, you’ll own compute allocation and help us make better use of our supercomputing resources. You’ll work closely with researchers and infrastructure engineers to understand demand, evaluate competing needs, and translate research priorities into practical allocation decisions. You’ll investigate where constraints limit progress and help teams find workable alternatives. Teaching is central to this work. You’ll help researchers plan their compute needs, understand allocation decisions, and reason through tradeoffs themselves. By working through real workloads, explaining your decisions, and developing useful tools and guidance, you’ll make specialized knowledge available to more of the team. This role is a good fit if you enjoy working deeply with technical constraints, making decisions under uncertainty, and helping others develop their judgment. WHAT YOU’LL DO - Own compute allocation. Understand current and upcoming demand, develop allocation plans with technical leads, and carry decisions through to execution. - Optimize within constraints. Work through tradeoffs across capacity, hardware suitability, workload size, timing, and dependencies. Help teams adapt their plans as requirements and resources change. - Improve productive use of compute. Partner with researchers and engineers to investigate the gap between allocated resources and useful work. Identify opportunities to improve scheduling, workload placement, and utilization. - Teach teams to plan and use compute well. Help researchers estimate their needs, understand available options, and recognize the consequences of different choices. Build practical understanding through real workloads and decisions. - Make your reasoning transferable. Explain assumptions and tradeoffs clearly. Develop examples, guidance, and tools that enable others to handle recurring decisions and recognize when they need help. - Connect research and infrastructure. Keep research plans grounded in usable capacity and make future needs visible to supercomputing and infrastructure teams. - Learn from outcomes. Compare expected and actual usage, revisit assumptions, and improve allocation decisions as workloads, systems, and priorities change. SKILLS AND QUALIFICATIONS Minimum qualifications: - Experience making consequential resource allocation or capacity decisions in a complex computing environment, with clear ownership of the tradeoffs and outcomes. - Strong technical understanding of distributed systems, machine learning infrastructure, or high-performance computing. You can reason about how workload requirements interact with system constraints. - Demonstrated ability to improve useful output from limited resources. You can explain what constrained the work, which alternatives you considered, and why your approach helped. - Ability to teach complex technical ideas through clear explanations and practical examples. You have helped others become more capable and independent. - Comfort investigating usage and performance data directly, questioning assumptions, and changing your view when the evidence warrants it. - Sound judgment when teams have competing priorities. You earn trust, explain difficult decisions, and work constructively through disagreement. - A hands-on, collaborative approach with strong attention to detail and follow-through. Preferred qualifications: - Experience owning compute allocation at an AI research lab or another organization with substantial shared computing resources. - Familiarity with GPU clusters, distributed training, scheduling, and workload placement. - Understanding of how networking, storage, reliability, and hardware differences affect usable capacity. - Experience building tools or analyses for capacity forecasting, allocation, or utilization. - Experience mentoring researchers, engineers, or technical program managers in compute planning and resource management. We encourage you to apply even if you don’t meet every preferred qualification. LOGISTICS - Location: San Francisco, California. - Compensation: $350,000 - $475,000 USD annually. - Visa sponsorship: We support visa sponsorship and work with candidates through the process. - Benefits: Health, dental, and vision coverage; unlimited PTO; paid parental leave; and relocation support as needed.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We're hiring a Software Engineer, Inference to own the reliability, scale, and efficiency of the systems that serve our models to real users. Our research and inference teams push the limits of model performance and serving efficiency; this role makes sure those gains reach production safely and stay up — powering Tinker's live, multi-tenant serving and the products built on top of our models. This is a production-facing systems role at the center of the company. You'll be the bridge between cutting-edge inference techniques and the day-to-day reality of serving real traffic: rollouts, capacity, incidents, and everything that keeps a fast-growing platform online. WHAT YOU'LL DO - Operate and scale the production inference systems that serve live traffic, including Tinker's multi-tenant serving platform - Own the rollout process for new models, model versions, and inference optimizations, ensuring safe, incremental deployment to production - Build and improve observability, alerting, and capacity planning so the team can detect, diagnose, and resolve production issues quickly - Partner with inference and research teams to productionize new serving techniques without compromising reliability - Lead incident response for production inference issues, driving root cause analysis and durable fixes - Design for graceful degradation, failover, and redundancy so that serving stays resilient as usage grows - Manage capacity and cost tradeoffs for serving infrastructure as traffic and model sizes scale SKILLS & QUALIFICATIONS MINIMUM QUALIFICATIONS - Experience operating large-scale, latency-sensitive production systems - Proficiency in Python and Go or another systems language - Experience with observability, monitoring, and incident response for production services - Strong understanding of distributed systems and how they fail at scale PREFERRED QUALIFICATIONS - Experience running production inference for large language models or other large-scale ML systems - Experience with deployment and rollout systems, such as canarying, blue/green deploys, or feature flags - Experience with capacity planning and cost optimization for GPU or TPU infrastructure - Familiarity with inference-specific techniques, such as batching, caching, or quantization, and their operational implications - Comfortable being on-call and leading incident response for critical production systems - Comfortable working with high autonomy in a fast-changing, early-stage environment LOGISTICS - Location: This role is based in San Francisco, CA. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $400,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We're hiring a Software Engineer, Infrastructure to design and build the distributed systems that power our model training and serving platforms. You'll work on the systems underlying everything we do — from the clusters that train our frontier models with Inkling, to the multi-tenant serving infrastructure behind Tinker. This is a foundational infrastructure role at a fast-moving startup. You'll have real ownership over systems that run at large scale, and your work will directly determine how quickly our research and product teams can iterate. WHAT YOU'LL DO - Design, build, and operate distributed systems that support large-scale model training and inference across thousands of accelerators - Build and maintain core infrastructure, including orchestration, scheduling, storage, and resource management systems - Improve the reliability, performance, and observability of infrastructure used across research and product teams - Partner with researchers and platform engineers to understand infrastructure needs and turn them into robust, well-abstracted systems - Debug and resolve complex distributed failures across the stack, from networking and storage to compute and scheduling - Write and maintain internal libraries and APIs, primarily in Python and Go, that other engineers build on SKILLS & QUALIFICATIONS MINIMUM QUALIFICATIONS - Demonstrated expertise designing and developing large-scale distributed systems - Strong proficiency in Python and Go - Experience building, deploying, and operating production infrastructure at scale - Solid grounding in distributed systems fundamentals, such as consensus, consistency, fault tolerance, and networking PREFERRED QUALIFICATIONS - Experience with ML infrastructure, such as training orchestration, job schedulers, or distributed storage and data systems - Experience operating large-scale GPU or TPU clusters - Experience with container orchestration (e.g. Kubernetes) and infrastructure-as-code - Contributions to open-source infrastructure projects - Comfortable working with high autonomy in a fast-changing, early-stage environment LOGISTICS - Location: This role is based in San Francisco, CA. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $400,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE As a Model Designer, you’ll shape how our models behave and feel, and how people experience working with them. Working alongside the researchers building these models, you might design: how a model reads intent, when it acts on its own, when it asks, and whether the person comes away sharper than they started. You’ll hold several things in tension: pushing what our models can do, anticipating what someone is reaching for before they’ve fully said it, and keeping the person’s judgment at the center of the work. We’re looking for creative generalists who care deeply about design, technology, and the humans on the other side of each turn. WHAT YOU’LL DO - Work closely with researchers to understand, predict, and shape model behavior, translating design judgment into training data, evaluations, and lasting changes in the models themselves. - Design how our models collaborate: when to take initiative, when to invite oversight or feedback, and how to earn the trust to act on someone’s behalf over time. - Build strong, thoughtful defaults that people can reshape around their own knowledge, preferences, and values. - Partner with research, product, design, and engineering from the earliest questions and prototypes to develop interfaces that widen the channel between people and models, including live and multimodal interaction. - Find creative ways to collect high-quality data, especially the tacit, hard-to-articulate knowledge people build through doing real work. - Help define what good looks like, with evaluations that capture what people and models accomplish together. - Identify and pursue improvements based on product sense, user feedback, quantitative insight, and the research roadmap. - Move comfortably across disciplines and projects, staying close to the work from the first idea through the details of shipping. SKILLS AND QUALIFICATIONS Minimum qualifications: - Clear communication, including the ability to explain complex technical concepts in writing. - Demonstrated ability to understand users whose needs and contexts differ from your own, through work across varied populations, domains, or cultures. - Several years of experience in a role focused on how people interact with technology, such as product design, UX research, content or conversation design, or model behavior work at an AI lab. Preferred qualifications: We encourage you to apply if you bring some of the following; we don’t expect anyone to bring all of them. - Experience designing model behavior or personality, or influencing technical roadmaps in domains where quality depends on judgment and there is no single right answer. - Experience shaping how models approach research, exercise judgment, express uncertainty, or reflect a coherent set of values. - Hands-on experience with large language models, including writing and iterating on prompts, evaluating outputs, and building an intuition for why a model behaves the way it does. - A portfolio or writing samples that show exceptional taste, craft, and clarity, ideally including work that shaped how a product or system communicates with people. - A track record of taking ambiguous problems from framing to shipped results, working across research, product, and engineering. - Experience designing and running experiments—qualitative studies, A/B tests, or model evaluations—and making decisions based on the results, including dropping ideas the evidence didn’t support. - Comfort with quantitative analysis: you can read evaluation results, find patterns in data, and explain findings to both technical and non-technical audiences. - A clear point of view on how AI should support human judgment, shown through your past work or writing. LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is $300,000–$400,000 USD. - Visa sponsorship: We sponsor visas. While we can’t guarantee success for every candidate or role, if you’re the right fit, we’re committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We're hiring an Executive Business Partner to support several leaders out of our San Francisco office. You will help our team stay focused and organized, managing personal logistics and any tasks that might fall through the cracks. This is a non-traditional EA role, requiring creativity in adapting to different people’s work styles and the new challenges that emerge at a fast-moving startup. The role entails real autonomy in making decisions without tight supervision. WHAT YOU’LL DO - Manage calendars, schedule meetings, and coordinate travel for 2-3 leaders across legal, operations and comms - Serve as the primary point of contact between your supported leaders and the rest of the company - Support recruiting coordination efforts - Help support broader company events and activities in collaboration with the other EBPs and Workplace Experience team - Support projects and workstreams for the leaders when needed - Track action items and commitments so nothing falls through the cracks SKILLS AND QUALIFICATIONS Minimum qualifications: - 6+ years of executive or administrative support experience, ideally in AI labs or tech startups - Track record of supporting business operations leadership Preferred qualifications: - Track record supporting a diverse team, adapting assistance and communication styles to individual needs - Experience managing a satellite office and coordinating across time zones - Experience adapting to a fast-changing role and meeting challenges proactively - Proven professionalism and discretion with sensitive or personal information LOGISTICS - Location: This role is based in San Francisco, CA. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $200,000 - $240,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT TINKER & INKLING Tinker https://thinkingmachines.ai/tinker/ is our fine-tuning API that empowers researchers and developers to customize frontier AI to their needs — opening access to capabilities that have previously been concentrated in a handful of labs. We manage the infrastructure while allowing Tinkerers full flexibility in training open weights models with their own data, algorithms, and for their own needs. Inkling https://thinkingmachines.ai/news/introducing-inkling/ is our open-weights model. It is a Mixture-of-Experts transformer with 975B total parameters, 41B active. It supports a context window of up to 1M tokens. It was pretrained on 45 trillion tokens of text, images, audio and video. It is the first in a family of models of different sizes. ABOUT THE ROLE We're hiring a Developer Relations Engineer to help the open source community build with Thinking Machines' products — Inkling https://thinkingmachines.ai/news/introducing-inkling/ and the models that follow it, and Tinker http://tinker, our fine-tuning platform. You'll work hands-on with real users, turn their feedback into product improvements, and help developers get the most out of our models and tools. This role sits at the intersection of engineering, research and community: you'll write code, ship industry leading ML recipes and integrations, and also represent Thinking Machines externally through talks, demos, and technical writing. It's a great fit for someone who's happiest building in a code editor, but who also enjoys teaching and engaging with a fast-growing developer community. WHAT YOU'LL DO - Write, test, and maintain high-quality agentic training, code examples and documentation for Inkling and Tinker - Work directly with developers and researchers in the open source community to debug issues, gather feedback, and improve their experience fine-tuning and deploying models - Partner with the research and infrastructure teams to turn community patterns and feedback into concrete improvements to Inkling, future models, Tinker, and develop new post-training recipes. - Build demos, integrations, and tools that make it easier for developers to adopt and get value from Thinking Machines' models - Represent Thinking Machines in the open source community through blog posts, talks and tutorials, livestreams, and conference and meetup appearances - Help shape the developer experience roadmap as new models and platform features ship SKILLS & QUALIFICATIONS MINIMUM QUALIFICATIONS - 5+ years of experience in developer relations, developer experience, or a software engineering role with significant open source or community-facing work - Strong software engineering skills, with experience writing and shipping production-quality Python code - Hands-on experience fine-tuning, evaluating, or deploying large language models PREFERRED QUALIFICATIONS - Experience with supervised and reinforcement learning fine-tuning of LLMs, post-training on new domains, and improving model capability - Track record contributing to, maintaining, or growing open source software libraries - Experience writing public or internal tutorials, cookbooks, or technical content that helped others understand and apply technical concepts - Comfortable engaging publicly through talks, livestreams, or conference and meetup appearances - Familiarity with multimodal models (text, image, audio) and the tradeoffs involved in training, fine-tuning, and inference LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $350,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We’re looking for a People Operations Generalist who believes that great people systems create leverage and trust. They let our researchers, engineers, and builders stay in deep focus–without distraction or uncertainty. Compliance happens smoothly instead of creating friction. New hires arrive on day one and integrate quickly with the support they need. This role is ideal for someone who treats people operations as a craft that spans compliance, program design, and organizational strategy. You'll support the early employee lifecycle, from offer acceptance to onboarding, while also building the programs and infrastructure that preserve what makes our culture distinctive as we grow. You’ll operate with significant autonomy, making judgment calls and building systems from first principles in an early-stage environment. This role reports to the Head of Operations and will be foundational in shaping how we scale. WHAT YOU’LL DO - Own the early employee lifecycle. Own our onboarding experience end-to-end, from offer acceptance through completion of new hire training. - Design compliance systems that are rigorous, reliable, and seamless. Manage I-9 verification, employee eligibility documentation, background checks, and compliance training. Monitor federal and state employment law obligations as headcount grows and build systems that make compliance straightforward for hiring managers and employees. - Enable global talent access. Own immigration case management in coordination with outside counsel across a range of visa types (H-1B, O-1A, EB-1A, PERM, CPT/OPT, and others), including RFE response management and policy monitoring. Support international hiring and employer-of-record arrangements for employees outside the U.S. - Build people programs that cultivate company culture. Help design and manage onboarding curricula, manager training, and executive/team coaching engagements, including sourcing coaches, coordinating workshops, and measuring impact. Build the playbooks and feedback loops that make these programs improve over time. - Build infrastructure that works for us. Evaluate, implement, and maintain HRIS, payroll, and adjacent systems (e.g., leading migrations between platforms). Balance vendor capabilities, integration requirements, and flexibility as needs change. - Support the benefits experience. Administer enrollment, answer employee questions, and coordinate with brokers and vendors during renewals. Help people understand and maximize their benefits (health, fertility, mental health, retirement, workers’ comp). - Create clarity through documentation. Build playbooks, decision trees, and self-service resources that help employees find answers independently and help the team maintain consistency as we grow. Maintain dashboards and trackers across onboarding, immigration, and program health so leadership always has visibility. - Partner across the organization. Work closely with finance, legal, IT, and hiring managers to ensure people operations supports company velocity while maintaining quality and compliance. - Build for scale. We’re a fast growing organization - build the infrastructure, operations and a team that can help us scale. SKILLS AND QUALIFICATIONS Minimum qualifications: - Demonstrated experience in HR operations, people operations, or a related field - Strong knowledge of employment compliance, including I-9 requirements, state and federal regulations, and recordkeeping best practices. - Experience supporting immigration processes in coordination with outside counsel. - Hands-on experience with HRIS platforms (e.g., Rippling, Workday, SequoiaOne) and comfort evaluating new tools. - Meticulous attention to detail, paired with an instinct for designing systems that fail gracefully and surface issues early. - Ability to operate with ambiguity and make principled tradeoffs in fast-moving environments. - Clear, concise written communication skills. You can take complex policies and make them accessible. - Exercise sound judgment and discretion when handling sensitive employee information and complex situations. Preferred qualifications: We encourage you to apply even if you don’t meet all preferred qualifications. - Experience at a high-growth technology or AI company - Background in benefits administration or total rewards - Familiarity with leave management, workers' compensation, or other compliance-heavy HR domains - Experience building onboarding programs or improving employee experience touchpoints. - Experience with international employment (EOR, cross-border hiring). LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $275,000 - $325,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. - As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We're hiring a Software Engineer to build and own our web-crawling systems, from distributed collection at internet scale through filtering, deduplication, and deciding what data we keep. The ideal candidate has built and scaled a web crawler or large-scale data-acquisition systems. In this role, you'll write and own production systems: the crawler itself, the infrastructure that runs it at scale, and the pipelines that turn raw crawls into usable pretraining data. You'll work closely with our pretraining and data teams to understand what's actually moving model quality, but this is fundamentally an engineering role, not a research one. WHAT YOU'LL DO - Design and scale the web crawler and ingestion infrastructure that sources Inkling's pretraining data - Build pipelines for large-scale extraction, deduplication, and data quality filtering - Build specialized crawlers for high-value or hard-to-reach data sources - Work with the pretraining team to understand how changes in crawled data affect model performance - Improve the reliability and efficiency of crawling and ingestion infrastructure at petabyte scale - Help set technical direction for this area as it grows, and bring other engineers up to speed on what you've learned SKILLS & QUALIFICATIONS MINIMUM QUALIFICATIONS - 8+ years designing, building, and scaling web crawlers, scrapers, or large-scale distributed data-acquisition systems - A track record of owning crawler or data-acquisition infrastructure at internet scale - Strong software engineering skills in a language such as Python, Go, or Rust, with real experience in distributed systems - Working knowledge of the practical and legal considerations of large-scale web data collection (robots.txt, rate limiting, licensing) PREFERRED QUALIFICATIONS - Experience applying machine learning to crawl selection, extraction, or data quality classification at internet scale - Experience setting technical direction for a crawling, data acquisition, or search infrastructure team, whether or not that was your formal title - Experience designing systems for petabyte-scale storage and processing - Track record of open-source contributions to crawling, scraping, or data infrastructure tools - Background at a search engine (crawling, indexing) or a frontier AI lab's data acquisition team LOGISTICS - Location: This role is based in San Francisco, CA or New York, NY. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000-$475,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.

Flat6Labs

About Flat6Labs Flat6Labs is the leading entrepreneurial ecosystem builder in the Middle East and Africa (MEA) region, with multiple offices across the region and operations in more than fifteen countries. Supporting entrepreneurs at various stages, Flat6Labs collaborates with leading partners to run renowned startup programs, strengthen entrepreneurship in emerging markets, and provide expert advisory services to startups, corporates, and governments. Since its launch in 2011 in Cairo, Flat6Labs has supported over 8,000 entrepreneurs in Africa, the Levant, and the GCC regions through tailored programs and extensive support services, partnering with global stakeholders. For more information, visit www.flat6labs.com About The Role: The Junior Business Development Officer plays a critical role in driving the company’s growth through client acquisition, proposal development, and strategic partnerships. This role requires a mix of analytical, writing, and relationship-building skills, with a strong emphasis on producing high-quality proposals, presentations, and reports that effectively showcase the company’s value proposition. Key Responsibilities: Proposal & Documentation Development Develop, write, and design business proposals, RFP responses, and client presentations. Prepare professional documentation (PDFs, decks, reports) that align with brand and client requirements. Maintain and update a library of proposals, templates, and case studies for quick and consistent turnaround. Business Development & Client Engagement Identify and pursue new business opportunities through market research, networking, and industry insights. Support the BD process by creating tailored materials for negotiations and client onboarding. Track and follow up on submitted proposals, ensuring timely client communication and deal closure. Collaboration & Internal Alignment Work closely with cross-functional teams (Programs, Marketing, Product, Finance, Operations) to ensure proposals are accurate, competitive, and strategically positioned. Manage the proposal pipeline and maintain up-to-date records on the company’s CRM system. Representation & Networking Represent the company at client meetings, conferences, and industry events to strengthen relationships and build partnerships along with the BD team. Requirements Bachelor’s degree in Business, Marketing, Communications, or a related field. 1–3 years of experience in business development, sales support, or proposal writing (experience in this sector is a plus). Strong writing, editing, and presentation design skills (Google Slides, PowerPoint/Keynote, Word, PDF creation). Proficiency with CRM tools and MS Office/Google Workspace. Excellent communication, negotiation, and relationship-building skills. Detail-oriented with the ability to manage multiple deadlines simultaneously. What Success Looks Like Proposals and decks are delivered on time, clearly written, and professionally presented. Flat6Labs’ value proposition is communicated consistently and accurately across all materials. Proposal turnaround time improves, and fewer revisions are needed. Opportunities are well-tracked, followed up on, and not dropped. Internal teams rely on the BDO as a dependable, responsive partner. Clients and partners experience smooth, professional engagement. Benefits What’s in it for you? Get the chance to work with high-potential growth startups and bright entrepreneurs from different backgrounds. Engage in the buzzing startup community in the MENA region. Work in an environment supporting creativity and proactivity, and be part of a small, dynamic team. Competitive package including medical insurance at one of the top medical insurance providers. Remote working model and flexible working hours.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE Our models and agents increasingly need to run code, use tools, and take actions in the world — safely, reliably, and at scale. The Core Services team builds the sandboxing infrastructure that makes this possible: the isolated execution environments where models write and run code, browse, and interact with tools, both for our researchers during training and for external users building on Tinker. We're hiring a software engineer to help design, build, and operate this sandboxing platform. You'll work on the systems that isolate and constrain untrusted, model-generated code, and that scale to support thousands of concurrent executions across the company. This is foundational infrastructure: every research experiment and every product surface that lets a model take action depends on it being fast, secure, and dependable. WHAT YOU'LL DO - Design, build, and operate sandboxed execution environments for running untrusted, model-generated code and tool calls at scale. - Improve isolation boundaries using technologies such as containers, microVMs, or gVisor-style kernels, balancing security against startup latency and throughput. - Build the scheduling, resource-management, and lifecycle systems that provision, reuse, and tear down sandboxes efficiently under heavy concurrent load. - Partner with researchers and Tinker's product team to expose sandboxing primitives that are simple to use and hard to misuse. - Instrument sandboxes for observability and abuse detection, and respond to novel escape or exploitation attempts as they're discovered. - Own reliability and performance of the sandboxing platform end-to-end, from API design down to the underlying virtualization layer. SKILLS AND QUALIFICATIONS MINIMUM QUALIFICATIONS - Bachelor's degree or equivalent experience in computer science, engineering, or similar. - Proficiency in at least one backend language (we use Python or Rust). - Experience building or operating isolation or virtualization technology, such as containers, microVMs (e.g. Firecracker, Cloud Hypervisor), or sandboxed runtimes (e.g. gVisor, Kata Containers). - Solid grounding in Linux internals relevant to isolation: namespaces, cgroups, seccomp, capabilities, and networking. - Comfort operating across the stack and owning projects end-to-end. - Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts. PREFERRED QUALIFICATIONS - Experience securing systems that execute untrusted or adversarial code, including threat modeling and hardening against sandbox escapes. - Familiarity with running large-scale, multi-tenant infrastructure on Kubernetes or similar orchestration systems. - Experience with performance-sensitive systems programming and reducing cold-start latency for ephemeral compute. - Track record of contributing to open-source infrastructure or security tooling. - Interest in how AI agents use tools and code execution, and how that shapes the design of safe execution environments. LOGISTICS - Location: This role is based in San Francisco, CA. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $400,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE Mid-training is a step between pre-training and post-training, where we take a base model and train it into the foundation for reasoning. This role owns the late-stage training responsibility that shape what our models are fundamentally capable of, including things like synthetic data strategies, the data mix, quality uplift, context extension and capabilities across coding, math, reasoning, and so on. This role blends fundamental research and practical engineering, as we do not distinguish between the two internally. It's an excellent fit for someone comfortable working across the boundary of pre-training and post-training, and who wants to shape what our models can do at their core. What You’ll Do - Own the data. Decide what the model needs to see for each capability and each area of knowledge, then source, curate, and synthesize it. Build the pipelines that filter, deduplicate, verify, and rewrite raw material into training-grade datasets. You'll be responsible for producing data that actually moves the model, and for making sure it reflects how people really use these models, not just clean benchmark-style tasks. - Improve what the model knows. Design and measure interventions that increase knowledge: targeted corpora, synthetic rephrasings and QA over source documents, knowledge-dense mixes. Characterize how knowledge scales with data and when it is retained through post-training versus forgotten. - Instill behaviors and set the prior. Introduce new behaviors during mid-training and measure them the right way: not just whether an eval goes up, but whether post-training becomes easier, more sample-efficient, and more stable as a result. Work closely with the post-training team to decide which behaviors belong in mid-training and which belong in RL. - Build the quality pipeline. Own the automatic filtering and scoring stack: train and calibrate quality classifiers and LLM-based judges, build verifiers for synthetic data, and use them to raise the quality bar of the mix by a lot, not a little. Give the team fine-grained control over data attributes (difficulty, domain, format, style, correctness) and measure the effect of each. - Develop and tune the recipe. Iterate on mid-training recipes: the collection of datasets, training stages, annealing schedules, and hyperparameters. Measure how recipe choices affect metrics, including downstream of post-training. - Iterate on evals. Mid-training involves a never-ending loop of defining a set of evaluations, optimizing them, and then realizing your existing evals don't capture what matters. You'll be responsible for both making numbers go up and making sure the numbers are meaningful. - Debug and understand. While tuning the details of a training configuration, we often observe results that don't quite make sense. You'll be responsible for both getting things to work and developing a deeper understanding we can bring to the next problem. - Scale and explore. Mid-training will involve a combination of scaling existing methodologies and developing new ones. We'll want to both measure how performance scales with dataset size and explore using completely different kinds of training data. SKILLS AND QUALIFICATIONS Required qualifications: - Proficiency in Python and familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow, or JAX). Comfort debugging distributed training and writing code that scales. - Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding. - Clarity in communication, an ability to explain complex technical concepts in writing. Preferred qualifications (we encourage you to apply if you meet some but not all of these): - A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs. - Experience building or owning training datasets for large models, including both synthetic data pipelines and real user data (collection, curation, filtering, or mixture design). - Experience with knowledge injection, continued pre-training, or domain adaptation of large models, and with measuring what a model knows. - Experience building model-based data quality systems: quality classifiers, LLM judges, or verification and rewriting pipelines operating at the scale of billions of tokens. - Experience generating synthetic data and understanding its failure modes (diversity collapse, contamination, teacher artifacts). - Research or engineering contributions in alignment, data-centric AI, or human-AI collaboration. LOGISTICS - This is an IC role within Thinking Machines’ Research Team. You will report directly to our Head of Research, and work most closely with our small group of post-training researchers. - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000- $475,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

New Energy Nexus

ABOUT NEW ENERGY NEXUS New Energy Nexus (NEX) is a not-for-profit organization that supports clean energy entrepreneurs with funds, services, and networks. Our vision is a 100% clean energy economy where innovation and communities thrive. As part of NEX’s global network, the New Energy Nexus California Chapter (NEX CA) is accelerating California’s clean energy transition by championing entrepreneurs, commercializing technologies, and co-designing strategies that scale innovation, build trust, and grow industries. With 20+ years of experience guiding entrepreneurs through the early stages of technology development into validation and scale-up, the NEX CA team focuses on the full lifecycle of entrepreneur support and technology commercialization. ABOUT THE ROLE & OPPORTUNITY NEX CA is seeking an experienced marketing leader and storyteller to help create new channels for startups across our long-standing portfolio of programs. These programs include CalSEED, which provides grant funding and wraparound services for the earliest-stage entrepreneurs; CalTestBed, which pairs startups with experts within universities and national labs to validate technologies; and PowerForward, which awards large grants to scale up battery manufacturing with partnerships for workforce development and community benefit. In total, these programs have supported 200 entrepreneurs across California over the past decade. This is a pivotal point in the evolution of NEX CA programs as regulatory, market, and funding landscapes shift rapidly in the clean energy space. To respond to the needs of clean energy entrepreneurs today, we are developing new program offerings that will connect startups directly with the customers and partners that will allow them to commercialize at scale through corporate matchmaking, curated events, and commercial deployment support for our portfolio. The Market Engagement & Communications Lead will design, launch, and execute campaign messaging across three distinct audiences: startups in our portfolio, corporate enterprise buyers, and external funding partners. This role will drive both the market positioning and campaign execution for our new customer-connection service. The Lead will market these offerings to startups to maximize participation, pitching corporate decision-makers to secure their involvement in matchmaking events, and crafting the overarching impact narrative to highlight program success to funders and prospective sponsors. POSITION DETAILS Term: This is a limited-term position through June 2028, with an opportunity for extension pending funding availability and programmatic need. Reporting Relationship: This role will initially report to the Head of Programs but may later report to the Director of Commercialization & Corporate Partnerships. KEY RESPONSIBILITIES Startup Marketing and Program Adoption Design targeted campaigns to educate portfolio startups on the value of new commercialization offerings Drive high startup enrollment and participation in customer mapping exercises, corporate adoption clinics, reverse pitches, and workshops Develop messaging toolkits and guides to help founders translate technical milestones into customer-centric value propositions for enterprise buyers Corporate and Customer Engagement Develop messaging campaigns tailored to utilities, OEMs, developers, and procurement agencies Market program event offerings to secure decision-maker attendance and participation from off-takers Frame program value propositions around corporate risk reduction, pilot readiness, and access to pre-vetted tech solutions Conduct structured outreach and interviews with corporates and customers to assess need and interest in working with portfolio startups Macro Narrative and Funder/Sponsor Storytelling Craft the core narrative for the commercialization initiative, positioning the program as a critical bridge between early-stage innovation and market adoption Package findings from market landscape research, commercial matches, and joint development agreements into high-impact case studies, reports, and presentations Author storytelling assets for funding partners and prospective sponsors to demonstrate program impact and attract future support Requirements QUALIFICATIONS Relevant Qualifications 5+ years of experience in market engagement marketing, communications, or multi-stakeholder storytelling within climate tech, open innovation, venture capital, or tech accelerator Track record of tailoring communications for distinct groups: entrepreneurs, corporates, and institutional funders/sponsors Prior experience working within California clean energy or policy ecosystems Required Skills & Abilities Strong dedication to New Energy Nexus's mission, with a demonstrated understanding of and alignment with organizational goals Excellent copywriting, campaign architecture, and visual narrative skills Ability to story-tell and produce content that simplifies complex narratives for broader accessibility and understanding The ability to develop and execute a strategic communication plan that aligns with the organization's mission and objectives Proficiency in using digital platforms, social media, and email marketing tools to reach and engage target audiences Proficiency in website content management systems (CMS) and website design principles to increase website traffic and improve user experience Knowledge of event planning and management, including logistics, promotion, and audience engagement strategies for virtual events Strong project management skills, with experience setting project scope and timelines, collaborating with people with different backgrounds, and tracking progress against goals Strong understanding of communication analytics tools to track and assess the impact of communication efforts Strong ability to adapt tone and voice when communicating the organization's mission to different audiences WORKING AT NEW ENERGY NEXUS Working at New Energy Nexus California is an opportunity to make a positive impact in the clean energy industry and be part of a supportive and forward-thinking community. It offers an innovative and collaborative work environment, fostering networking opportunities and providing diverse roles that allow for personal and professional growth. This is a hybrid position based in the San Francisco Bay Area, with an expectation to work out of our Berkeley office a minimum of two designated days per week (Tuesdays and Thursdays) . Relocation assistance is not available for this role. Benefits BENEFITS AND COMPENSATION Competitive compensation of $125-140K annually plus benefits including, medical, dental, vision, flexible paid time off, paid holidays and 401(k) with employer contribution. TO APPLY, TIMELINE, AND PROCESS Submit your resume and a cover letter describing your interest in the role and relevant experience that would lead to your success. Please treat the cover letter as an opportunity to demonstrate your writing skills. Applications will be reviewed and screened on a rolling basis starting October 1, 2026. The position will remain open until filled. Qualified applicants will participate in 3-4 rounds of interviews. If you require accommodations during the interview process, please contact us with your request. New Energy Nexus is an equal employment opportunity employer and does not discriminate against applicants or employees because of race, color, religion, national origin, sex, age, citizenship status, disability status, genetic information, sexual orientation, or gender identity or expression of an otherwise qualified individual, or any other characteristic protected by applicable federal, state, or local law. New Energy Nexus hires and promotes individuals on the basis of their qualifications for the job to be filled. We strongly encourage diverse applicants to apply.

New Energy Nexus

ABOUT NEW ENERGY NEXUS New Energy Nexus (NEX) is a not-for-profit organization that supports clean energy entrepreneurs with funds, services, and networks. Our vision is a 100% clean energy economy where innovation and communities thrive. As part of NEX’s global network, the New Energy Nexus California Chapter (NEX CA) is accelerating California’s clean energy transition by championing entrepreneurs, commercializing technologies, and co-designing strategies that scale innovation, build trust, and grow industries. With 20+ years of experience guiding entrepreneurs through the early stages of technology development into validation and scale-up, the NEX CA team focuses on the full lifecycle of entrepreneur support and technology commercialization. ABOUT THE ROLE & OPPORTUNITY NEX CA is seeking an experienced, market-driven leader to spearhead commercialization pathways across our long-standing portfolio of programs. These programs include CalSEED, which provides grant funding and wraparound services for the earliest-stage entrepreneurs; CalTestBed, which pairs startups with experts within universities and national labs to validate technologies; and PowerForward, which awards large grants to scale up battery manufacturing with partnerships for workforce development and community benefit. In total, these programs have supported 200 entrepreneurs across California over the past decade. The Director of Commercialization & Corporate Partnerships will lead the development of a new program offering within the California portfolio, focused on connecting startups with major customers that will accelerate their path to commercialization. The Director will lead the strategic mapping of clean energy sectors, and most critically, build high-value relationships and secure tangible engagement with “next-level partners” – including utilities, corporate off-takers, manufacturers, developers, and procurement agencies. They will oversee the design and execution of curated commercialization tracks that will include corporate clinics, reverse pitches, curated matchmaking, and demo days designed to drive pilots, joint development agreements, and commercial transactions. This is a pivotal point in the evolution of NEX CA programs as regulatory, market, and funding landscapes shift rapidly in the clean energy space. This role will help prepare clean energy entrepreneurs for the path ahead by connecting them with the customers and partners that will allow them to commercialize at scale. POSITION DETAILS Term: This is a limited-term position through June 2028 , with an opportunity for extension pending funding availability and programmatic need. Reporting Relationship: The Director will report to the Head of Programs and may oversee at least one direct report. KEY RESPONSIBILITIES Commercialization Program Development Market mapping and partner outreach Lead landscape analysis across major technical areas within the NEX CA startup portfolio to map target customer segments and off-taker challenges Build and secure high-value relationships with “next-level partners,” including utilities, corporate off-takers, manufacturers, developers, and procurement agencies. Conduct structured outreach and interviews with “next-level partners” (utilities, corporate engineering and venture units, OEMs) to assess need and interest in working with portfolio startups Translate outreach insights into structured program tracks for startups and next-level partners Curated partner and portfolio engagement Oversee curation and content for program events, including corporate adoption clinics, industry roundtables, reverse pitches, and demo days Match portfolio companies with corporate leads based on readiness levels and enterprise needs Facilitate buyer roundtables and corporate clinics to prepare startups for commercial deal structures Commercial pipeline and ecosystem facilitation Track and measure commercial outcomes (pilots, commercial contracts, follow-on revenue) stemming from partner interactions Serve as the primary thought partner for NEX CA programming that accelerates portfolio company commercialization across California and the U.S., including representing the organization at meetings, conferences, and other events Program Management Oversee program execution, ensuring that deliverables owned by this role are met according to schedule and within budget Oversee the development of tools, resources and network access that will increase impact for program beneficiaries Manage relationships with deliverables-related contractors and vendors Establish and maintain policies, procedures, and standards for programs within the role’s scope. Monitor program performance against established metrics, analyze data, and implement corrective actions as needed Ensure compliance with all applicable regulations, funding requirements, and organizational policies Ensure quality of program reporting and completion in a timely manner to internal and external stakeholders Prepare and submit timely, accurate, and high-quality program reports to internal and external stakeholders Team Leadership and Management Set up and manage teams for new and developing programs, ensuring they are adequately resourced to successfully deliver program outcomes while fostering a collaborative and motivated team environment. Recruit, hire, train, and supervise program staff who report to this position Provide ongoing coaching, feedback, and professional development to program staff, including 1:1, goal setting, and performance evaluations, fostering a positive and productive work environment. Promote staff development and professional growth opportunities Address employee relations issues in accordance with HR policies and procedures Requirements RELEVANT EXPERIENCE Candidates are not expected to meet every qualification below. However, successful candidates should bring a strong combination of relevant experience across several of these areas, demonstrating comparable depth and breadth in climate tech commercialization, corporate innovation, and/or market development. 8+ years of experience in climate tech commercialization, corporate open innovation, venture development, or enterprise sales in energy/industrial sectors Experience structuring pilots, JDAs, procurement deals, or similar commercial engagements between startups and enterprise buyers Established relationships or demonstrated ability to build networks with innovation leaders across clean energy corporates, electric utilities, OEMs, procurement agencies, or comparable organizations Strong understanding of technology adoption, market readiness, and the commercialization hurdles facing hardware solutions Experience working within or alongside accelerator/incubator ecosystems, venture capital platforms, or comparable innovation environments We are interested in the overall combination and relevance of a candidate’s experience rather than an exact match against every item above. Required Skills & Abilities Strong dedication to New Energy Nexus's mission, with a demonstrated understanding of and alignment with organizational goals Experience in climate, clean energy, entrepreneurship, emerging technology scale-up Demonstrated experience in process mapping, developing and implementing policies and procedures, and streamlining workflows at an organizational level Proven track record of successfully managed programs from inception to completion and renewal Experience with budget management and development Strong written and verbal communication skills Excellent problem-solving skills and the ability to proactively anticipate needs Team player with respect for others and ability to work independently Enthusiasm for and the ability to easily adapt to change Strong interpersonal skills, tolerance, flexibility and collaboration skills Ability to adapt in a fast-paced work environment, prioritize, multitask, and meet competing deadlines WORKING AT NEW ENERGY NEXUS Working at New Energy Nexus California is an opportunity to make a positive impact in the clean energy industry and be part of a supportive and forward-thinking community. It offers an innovative and collaborative work environment, fostering networking opportunities and providing diverse roles that allow for personal and professional growth. This is a hybrid position based in the San Francisco Bay Area, with an expectation to work out of our Berkeley office a minimum of two designated days per week (Tuesdays and Thursdays), with additional in-person requirements as needed to fulfill the responsibilities above (such as in-person meetings with next-level partners and traveling to external events). Relocation assistance is not available for this role. Benefits BENEFITS AND COMPENSATION Competitive compensation of $165-185K annually plus benefits including, medical, dental, vision, flexible paid time off, paid holidays and 401(k) with employer contribution. TO APPLY, TIMELINE, AND PROCESS Submit your resume and a cover letter describing your interest in the role and relevant experience that would lead to your success. Please treat the cover letter like a writing sample - i.e. as an opportunity to demonstrate your writing skills. Applications will be reviewed and screened on a rolling basis starting October 1, 2026. The position will remain open until filled. Qualified applicants will participate in 3-4 rounds of interviews. If you require accommodations during the interview process, please contact us with your request. New Energy Nexus is an equal employment opportunity employer and does not discriminate against applicants or employees because of race, color, religion, national origin, sex, age, citizenship status, disability status, genetic information, sexual orientation, or gender identity or expression of an otherwise qualified individual, or any other characteristic protected by applicable federal, state, or local law. New Energy Nexus hires and promotes individuals on the basis of their qualifications for the job to be filled. We strongly encourage diverse applicants to apply.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We're looking for a founding policy leader to build and lead Thinking Machines' global public policy function. You'll be the company's principal policy strategist and advocate across a wide range of policy issues that shape how Thinking Machines can build and deploy frontier AI responsibly.These could span U.S. federal and state policy, the EU AI Act, international regulatory regimes, export control and national security frameworks. You'll work with leadership to set the company's substantive policy positions, build and lead the team that executes on them, and represent Thinking Machines directly with legislators, regulators, and industry counterparts. This is a build role that will take ownership of it end-to-end: hiring and developing a team while scaling the company's engagement across every jurisdiction where policy affects its ability to operate. WHAT YOU'LL DO - Set and drive Thinking Machines' global public policy strategy, from U.S. federal legislation and executive action to EU AI Act implementation and policy developments in other key jurisdictions. - Build and lead the public policy team, including hiring, structuring the function, and establishing how it partners with Research, Product, Safety, Legal, Communications, and the executive team. - Represent Thinking Machines directly with legislators, regulators, and agency staff, and manage relationships with outside counsel, lobbyists, and advocacy partners. - Lead the company's engagement on the issues most material to its business: frontier model legislation, safety and disclosure frameworks, open-weight model policy, and societal impact, translating fast-moving developments into clear positions and recommendations for leadership. - Build and manage coalition relationships with peer labs, industry groups, and trade associations, and represent Thinking Machines in relevant multi-stakeholder forums. - Develop the internal infrastructure for policy decision-making, including state-of-play tracking, position papers, and clear escalation paths, so policy considerations are built into product and research decisions early. SKILLS AND QUALIFICATIONS Minimum qualifications: - 10+ years of experience in technology policy, government relations, or a related field with a demonstrated track record of shaping policy outcomes on complex technology policy issues, including significant experience in U.S. federal policy and direct engagement with legislators or regulators. - Experience building and leading a policy or government affairs function, including hiring and managing a team. - Working knowledge of the US state, federal, and international regulatory landscape for AI, including the EU AI Act, and experience engaging on policy issues across multiple jurisdictions. - Excellent judgment translating complex, fast-moving regulatory developments into clear, actionable recommendations for executive leadership. - Strong relationship-building and communication skills, with the ability to represent the company credibly with government officials, industry counterparts, and internal stakeholders alike. Preferred qualifications—we encourage you to apply if you meet some but not all of these: - Experience in a frontier AI company, national security, or export control policy context, with familiarity with issues like deemed exports, compute governance, or model release policy. - Prior government, Hill, or agency experience (e.g., Congress, Commerce/BIS, OSTP, or similar). - Experience building coalitions with peer companies and trade associations on emerging technology policy issues. - Familiarity with the technical fundamentals of frontier AI development (training, fine-tuning, model release processes) sufficient to engage credibly with research and engineering teams. LOGISTICS - Location: This role is based in Washington, D.C. with regular travel to San Francisco, CA and other jurisdictions as needed. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000-360,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We're looking for an experienced policy leader to build and lead Thinking Machines' product policy function. Product policy shapes the rules that govern how Thinking Machines' products and models are built, released, and used: usage policies, content and safety policies, model release and access policies, and developer-facing policies for platforms like Tinker. You'll set policy positions on product-level questions, build the review processes and frameworks that operationalize them, and partner directly with Research, Product, Trust & Safety, Communications, Public Policy and Legal so that policy is built into decisions from the start, not bolted on after launch. This is a build role that will take ownership of it end-to-end: hiring and developing a team, and establishing the policies, review processes, and cross-functional muscle that let the company launch new capabilities responsibly and quickly. Important contact about this role: In this position, you may be exposed to and/or engage with explicit content across a range of topics, including those of a sexual, violent, or psychologically disturbing nature. WHAT YOU'LL DO - Set and drive Thinking Machines' product policy strategy, including usage policies, content and platform policies, and policies governing new model capabilities and releases. - Build and lead the product policy team, including hiring, structuring the function, and establishing how it partners with Research, Product, Trust & Safety, Communications, Public Policy and Legal. - Own the frameworks and review processes that assess new product features and model capabilities for policy risk before launch, and drive the mitigations that come out of that review. - Partner with public policy and research on the company's policy response to novel product and capability questions, including open-weight model release, fine-tuning and customization on platforms like Tinker, agentic capabilities, and enterprise use cases, translating fast-moving product decisions into clear positions and recommendations for leadership. - Partner with Trust & Safety, Research, and Communications to build user-facing policies, including acceptable use and enforcement frameworks, that are both principled and practical to enforce. - Develop the internal infrastructure for product policy decision-making, including intake processes, review thresholds, escalation paths, and decision logs, so policy is built into product and research decisions early rather than at the point of launch. SKILLS AND QUALIFICATIONS Minimum qualifications: - 10+ years of experience in product policy, trust & safety, content policy, or a related field, including significant experience assessing product and platform risk. - Experience building and leading a product policy, trust & safety, or content policy function, including hiring and managing a team. - Strong track record partnering directly with product and engineering teams on policy questions embedded in the development lifecycle, from early design through launch. - Excellent judgment translating complex, fast-moving product and policy questions into clear, actionable recommendations for executive leadership. - Strong relationship-building and communication skills, with the ability to represent the company credibly with regulators, industry counterparts, and internal stakeholders alike. Preferred qualifications—we encourage you to apply if you meet some but not all of these: - Experience in a frontier AI company or on an AI safety or trust & safety team, with familiarity with model release, fine-tuning, or agentic product policy questions. - Experience building policy or risk review frameworks for novel technology, such as ranking and recommendation systems, generative AI, or other emergent product surfaces. - Familiarity with the technical fundamentals of frontier AI development sufficient to engage credibly with research and engineering teams. - Background in law, trust & safety, or content policy, with experience navigating regulatory frameworks relevant to product policy, such as online safety regulation, child safety, or platform governance. LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000-360,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE At Thinking Machines we build tools that enable people to make AI their own, customizing models to serve their unique needs. This includes the ability to train model weights. In this role, you'll work on frontier customization techniques and help build the best post-training engine in the industry – Tinker – drawing on a whole-stack understanding of RL science. Findings directly shape Tinker's training defaults, API design, and the open-source Tinker Cookbook. You'll work with our internal research teams as well as contributing to open science for external partners. WHAT YOU’LL DO In this role, you'll advance the science of fine-tuning and frontier post-training techniques. You’ll: - Contribute to areas like LoRA and parameter efficient fine-tuning and how to push customization quality, efficiency, and reliability to the frontier. - Ship research into product: inform Tinker's training defaults and primitives, and codify best-practice methods as recipes in the Tinker Cookbook. - Improve the stability, efficiency, and reliability of large-scale fine-tuning and RL runs on Tinker. - Share what you learn through papers, technical blog posts, and community contributions. You’ll contribute to areas like LoRA, parameter-efficient fine-tuning, how things interact with RL and post-training, and how to push customization quality, efficiency, and reliability to the frontier. SKILLS AND QUALIFICATIONS Required qualifications: - Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding. - Proficiency in Python and familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow, or JAX). Comfort debugging distributed training and writing code that scales. - Clarity in communication, an ability to explain complex technical concepts in writing. - Strong interest in our mission to enable custom models. Preferred qualifications — we encourage you to apply if you meet some but not all of these: - A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs. - Prior experience with RLHF, RLAIF, preference modeling, or reward learning for large models. - Experience managing or analyzing human data collection campaigns or large-scale annotation workflows. - Research or engineering contributions in alignment, data-centric AI, or human-AI collaboration. - Experience with RL training stability techniques for large runs. - PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience. LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE At Thinking Machines we build tools that enable people to make AI their own, customizing models to serve their unique needs. This includes the ability to train model weights. You'll lead the Fine-tuning Science team, setting the research agenda for frontier customization techniques and for Tinker, the leading post-training engine. This is a player-coach role: you'll stay hands-on in the science while growing the team, shaping its direction, and making sure findings ship into Tinker. You'll work closely with our internal research teams, contribute to open science, and engage with external users. WHAT YOU’LL DO In this role, you'll advance the science of fine-tuning and frontier post-training techniques. You’ll: - Set the research agenda: choose the problems, place the bets, and own the roadmap for pushing Tinker quality, efficiency, and reliability to the frontier. - Lead and grow the team: hire, mentor, and develop researchers, and set the bar for experimental rigor and research taste. - Stay hands-on in areas like LoRA and parameter-efficient fine-tuning and how they interact with RL and post-training. - Improve the stability, efficiency, and reliability of large-scale fine-tuning and RL runs on Tinker. - Represent the work externally through papers, technical blog posts, and community contributions. SKILLS AND QUALIFICATIONS Required qualifications: - Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding. - A track record of leading research – setting direction for a team or a major research effort and delivering on it. - Proficiency in Python and familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow, or JAX). Comfort debugging distributed training and writing code that scales. - Clarity in communication: an ability to explain complex technical concepts in writing and to build alignment across science, systems/infra, product. - Strong interest in our mission to enable custom models. Preferred qualifications — we encourage you to apply if you meet some but not all of these: - A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs. - Prior experience with RLHF, RLAIF, preference modeling, or reward learning for large models. - Experience managing or analyzing human data collection campaigns or large-scale annotation workflows. - Research or engineering contributions in alignment, data-centric AI, or human-AI collaboration. - Experience with RL training stability techniques for large runs. - PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience. LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Flat6Labs

About the Role: Flat6Labs Junior Financial Controller will be responsible for supporting the Financial Controller & the wider Finance team in maintaining accurate and timely financial reporting and control processes across the organization. As a Financial Control & Reporting Officer, you will play a pivotal role in gathering & validating financial information, identifying and flagging discrepancies and ensuring financial matters are appropriately escalated for review and decision making. About Flat6Labs: Flat6Labs is the leading entrepreneurship platform in emerging markets, empowering entrepreneurs to build, launch, and grow transformative ideas through acceleration programs, ecosystem development, and tailored innovation services. For more information, visit www.flat6labs.com. Key Responsibilities: - Financial Control & Reporting: Assist in reviewing monthly & quarterly financial reports, including income statements, balance sheets, and cash flow statements Prepare timely and detailed reports on financial performance on a quarterly and annual basis Assist in reconciliations & pre-close checks to identify timing and booking errors prior to Controller sign-off, including VAT and revenue recognition timing across reporting periods Monitor intercompany & cross-border transactions, including tax treaty requirements and withholding tax considerations Perform first-line review of financial transactions & reports, proactively identifying and flagging anomalies prior to Controller sign-off Support the preparation of statutory financial statements for subsidiary entities, including Arabic/English reporting where required - Budgeting and Forecasting: Support in developing budgets, providing variance analysis and recommendations across the region Assist in the preparation of financial forecasts and projections Prepare variance analysis and cost breakdowns for donor-funded or grant-based programs - Financial & Contractual Support: Assist in reviewing financial terms and implications of contracts and agreements, including settlements, termination clauses, and refund obligations, in coordination with Legal - Cross-Functional Collaboration: Work closely with departments across the organization to gather financial information and provide insights Coordinate and assist other accounting and finance personnel in the organization Requirements Bachelor's degree in Accounting or Finance 1 - 3 years of experience in financial analysis, or a related field, preferably in the startup ecosystem Relevant professional certification is a plus: CMA, CPA, CFA, or ACCA will be preferred but not required Experience with multi-entity and multi-currency financial consolidation Ability to work independently and collaboratively in a fast-paced, entrepreneurial environment Advanced proficiency in Excel, with experience using ERP and accounting systems Exposure to MENA and emerging-market regulatory requirements, including VAT, tax treaties, and donor compliance, is a plus Detail-oriented with a high level of accuracy and integrity Thorough knowledge of basic accounting procedures

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE This role is responsible for building and strengthening the engineering foundations that our post-training research teams depend on. You'll embed within a research team, and build or improve the systems required for the team to succeed. Our research teams are small, and the role carries a corresponding degree of autonomy and responsibility. WHAT YOU’LL DO - Embed within a research team to build, harden, and improve the systems and infrastructure required for the team to succeed. - Design, build, and operate infrastructure research teams depend on, including RL training systems, sandboxing, data pipelines, and agent scaffolding. SKILLS AND QUALIFICATIONS Minimum qualifications: - Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding. - Experience leading projects end to end, working in large fast-moving codebases, and writing code others have depended and built on. - Strong proficiency in Python and strong engineering fundamentals, with experience debugging systems that fail intermittently and at scale. - Clarity in communication, an ability to explain complex technical concepts in writing. - Strong autonomous drive to progress towards the team’s goals with an ownership mindset. Preferred qualifications — we encourage you to apply even if you don’t meet all preferred qualifications, but preferably some: - Experience building or iterating with sandboxed or containerized execution environments at a large scale. - Experience in a role where the team's priorities set yours, and a track record of success in such a role. - Familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

New Energy Nexus

Who We Are New Energy Nexus (NEX) is an international nonprofit organization supporting entrepreneurs and innovators building the future of clean energy. Across more than 15 countries, we accelerate startups, strengthen clean energy ecosystems, and develop market-based solutions that accelerate the global transition to a clean energy economy. NEX does not develop or sell energy projects itself. We identify gaps that slow clean-energy adoption and bring together entrepreneurs, companies, investors, public-sector stakeholders and funders to address them. Our work is delivered through practical programs such as startup acceleration, workforce development, grants, training, market-access initiatives and industry partnerships, supported by philanthropic, public-sector and corporate funding. NEX has operated in Thailand since 2018. Today, the Thailand chapter is focused on two connected areas: scaling Distributed Energy, including rooftop solar workforce and market development; and building new pathways for Industry Decarbonization by connecting relevant technologies and entrepreneurs with corporate needs. The Role New Energy Nexus is seeking a hands-on, entrepreneurial leader to strengthen NEX Thailand as a resilient, high-performing organization and a trusted clean-energy market builder. This is a Thailand-first leadership role. The Country Director will lead the team, strategy, financial sustainability, organizational development, partnerships and program portfolio, with two immediate strategic priorities: Strengthen and scale the established Distributed Energy work, ensuring strong delivery, institutional resilience and continued market relevance. Assess NEX Thailand's existing assets and market opportunities in Industry Decarbonization, then define priority sectors, validate the business model, and build the partnerships, team and funding needed to develop this vertical. The Country Director will work across the Thai clean-energy ecosystem, connecting entrepreneurs and smaller businesses with corporates, funders, investors, public-sector actors and other partners. They will need to understand the interests, constraints and incentives of different market participants and turn those insights into practical programs, partnerships and funding opportunities. NEX Thailand operates with a lean team. The successful candidate will therefore be equally comfortable setting direction, representing the organization externally and doing the hands-on work of building teams, systems and delivery capacity. They will build on what already exists while taking ownership of what comes next. Core Accountabilities & Key Responsibilities Lead Vision, Strategy & Organizational Growth Lead and execute a focused multi-year strategy for NEX Thailand around Distributed Energy and Industry Decarbonization. Use local-market analysis, partner insight and evidence to identify market gaps where NEX can create distinctive value and measurable impact. Make deliberate choices about where the chapter should - and should not - focus, balancing current delivery with longer-term growth opportunities. Translate strategic objectives into clear annual priorities, workplans, organizational goals and program or partnership platforms. Monitor changes in policy, technology, funding and market demand and adapt the chapter's direction when evidence requires it. Fundraising & Partnerships Build on existing and adjacent relationships to develop a diversified pipeline of foundation, corporate, public-sector, multilateral and philanthropic funding opportunities, with support from NEX's global leadership. Shape credible, fundable programs and partnerships that respond to real market needs and strengthen NEX Thailand's long-term sustainability. Lead or contribute substantially to proposal development, funder engagement, partnership negotiations and relationship management. Develop strategic partnerships across the clean-energy ecosystem that improve program delivery, market access and organizational impact. Communicate NEX Thailand's results, learning and value proposition credibly to funders, partners, the global NEX network and the wider ecosystem. Oversee annual budgeting, financial planning, resource allocation and organizational performance. Program Implementation & Team Development Lead and develop a high-performing, collaborative team and ensure NEX Thailand delivers consistently strong results. Assess current capabilities and build the team, management practices and operating rhythm needed for the next phase of the chapter's development. Ensure the established Distributed Energy portfolio delivers high-quality outcomes in workforce development, entrepreneur support and market activation. Lead the validation and development of Industry Decarbonization by assessing market gaps, corporate demand, potential sectors, technologies, partners and sustainable delivery models. Oversee NEX Thailand's portfolio of startup acceleration, commercialization, workforce development and ecosystem programs. Ensure programs are informed by market evidence, entrepreneur and partner feedback, and clear impact objectives. Build long-term program platforms and organizational capabilities rather than relying only on one-off projects or grants. Establish appropriate impact measurement, learning and reporting practices, and use evidence to improve programs and resource allocation. Develop team members as credible external representatives and future leaders, and foster an inclusive culture of learning, ambition, accountability and care. Organizational Governance & Operations Establish clear roles, decision rights, management practices and ways of working that enable accountability, collaboration, transparency and autonomy. Oversee appropriate legal, governance and operational arrangements for NEX Thailand and ensure compliance with local regulations and NEX global policies. Oversee financial management, organizational risk and operational performance. Strengthen the systems and institutional capacity needed for sustainable growth and effective program delivery. External Leadership & NEX Network Collaboration Represent NEX Thailand as a credible speaker, convener, thought partner and ambassador within Thailand's clean-energy ecosystem. Build trusted relationships with corporates, entrepreneurs, funders, investors, public-sector actors, utilities, development partners and industry organizations. Develop NEX Thailand's reputation as a practical bridge builder that helps different market actors overcome persistent barriers to clean-energy adoption and commercialization. Share knowledge and best practices across the global NEX network and contribute to cross-country initiatives where they support Thailand's strategy. Requirements What We Are Looking For We are looking for a clean-energy institution builder and entrepreneurial general manager: someone who can lead externally while doing the internal work of strengthening a lean team, organizational systems, funding and delivery capacity. The ideal candidate is: Passionate about accelerating Thailand's clean-energy transition and motivated by NEX's mission. A hands-on leader who takes ownership, works comfortably with incomplete information and follows through on execution. Experienced in building or strengthening a team, business unit, organization, platform or major program - not only administering an established portfolio. Able to analyze the local market, understand the needs and constraints of different actors, and translate insight into practical programs, partnerships or business models. Commercially and financially literate, while comfortable working in a mission-driven nonprofit environment. Credible with senior external stakeholders and able to move between team leadership, market development, program design and funding conversations. A systems thinker who can connect entrepreneurs, markets, policy and partnerships without losing sight of practical delivery. Highly collaborative, relationship-oriented and effective in an international, matrixed environment. Qualifications Bachelor's degree in business, clean energy, entrepreneurship or a related field, or equivalent professional experience. Approximately 10 or more years of progressively responsible experience in clean energy, innovation, entrepreneurship, market development, sustainability or a related field, including substantial leadership responsibility. Demonstrated success building, transforming or stabilizing a team, organization, business unit, chapter, innovation platform or significant program. Direct experience managing people and owning operational, financial or program outcomes. Demonstrated ability to analyze and develop local markets in Thailand, including aligning the interests and operating constraints of entrepreneurs, smaller businesses, corporates and other relevant actors. Credible understanding of clean-energy markets, technologies and innovation ecosystems. Deep engineering expertise is not required. Evidence of creating a new program, platform, partnership or business model from an early or ambiguous stage and taking responsibility for implementation. Experience shaping and materially advancing funding or strategic partnership opportunities through grants, corporate partnerships, public-sector funding, philanthropy or other relevant models. Strong financial, operational and organizational management capabilities. Professional fluency in Thai and English, with excellent written and verbal communication and the ability to represent NEX with senior local and international stakeholders. Ability to think strategically while executing effectively in a dynamic, entrepreneurial and resource-conscious environment. Experience in One or More of the Following Distributed energy, rooftop solar, energy efficiency or related clean-energy markets. Industrial decarbonization, climate-tech commercialization or corporate clean-energy innovation. Startup acceleration, venture building, innovation ecosystems or technology commercialization. Public-private partnerships, corporate partnerships or market-development initiatives. International development, donor-funded programs or mission-driven organizations. Building organizations or business units through change, growth or complexity. Helpful but not required: direct solar project-development or engineering experience, an extensive government network, previous Country Director experience, or regional leadership across Southeast Asia. Strong Thailand-market credibility and demonstrated institution-building capability matter more. Why Join New Energy Nexus? This role offers a unique opportunity to build on an established eight-year track record while shaping the next phase of Thailand's clean-energy transition. As Country Director, you will strengthen an existing team, program portfolio, funding base and network of relationships. You will help scale NEX Thailand's established Distributed Energy work while building a new Industry Decarbonization vertical that connects practical climate solutions with real corporate and market needs. This is an opportunity for a leader who enjoys both building on what exists and imagining what comes next - someone who can preserve the relationships, knowledge and entrepreneurial spirit NEX Thailand has developed while bringing the organizational discipline, commercial judgment and hands-on leadership needed for its next chapter. You will also contribute insight and learning to the global New Energy Nexus network and collaborate with other chapters where this strengthens NEX Thailand's work. Benefits LOCATION The role is based in Bangkok, Thailand, with a hybrid working arrangement. It requires regular engagement with partners, entrepreneurs, government, communities and other ecosystem actors across Thailand, as well as periodic regional and international travel. TO APPLY, TIMELINE, AND PROCESS All qualified candidates are encouraged to apply as soon as possible Submit your resume, cover letter and responses to our application questions. Click the “ APPLY FOR THIS JOB ” button to begin your application. Applications will be accepted on a rolling basis until filled. New Energy Nexus is an equal employment opportunity employer and does not discriminate against applicants or employees because of race, color, religion, national origin, sex, age, citizenship status, disability status, genetic information, sexual orientation, or gender identity or expression of an otherwise qualified individual, or membership in any other class protected by applicable law. New Energy Nexus hires and promotes individuals on the basis of their qualifications for the job to be filled. We strongly encourage diverse applicants to apply.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. About the Role This is a product role for someone who can operate inside frontier research without trying to turn research into a conventional software roadmap. The work requires judgment, technical fluency, user empathy, discretion, and the ability to create clarity without creating bureaucracy. The Post-Training Product Manager will work as a high-trust partner to our post-training researchers. Your role is to understand the work deeply enough to ask the right questions, identify missing connections, surface implications, and help the team decide what matters next. The role sits at the seam between research, model behavior, data and environments, evaluations, training and inference infrastructure, safety, product, and the people using our models. Inkling was post-trained across math, agentic code and tool use, audio, image, chat, and safety, with a large-scale asynchronous RL program that exceeded 30M rollouts. Inkling and Inkling-Small share a scalable post-training stack, and Inkling is available for customization on Tinker. The next phase requires tight loops among research priorities, model behavior, evaluations, infrastructure constraints, user and customer learning, and product direction. The person in this role will help those loops compound instead of fragment — maintaining the bird's-eye view while researchers go deep: where work is converging, where teams are solving adjacent problems without enough shared context, what evidence is missing, what decisions are blocked, and how research becomes a stronger model and a useful product. What You'll Do - Partner with post-training research leaders on priorities, sequencing, decision points, and the connection between research work and the broader model and product agenda - Maintain a clear view across SFT, RL, data and environments, evaluations, safety, model behavior, inference, training infrastructure, and product dependencies; identify gaps before they become blockers - Translate ambiguous research and product questions into concrete learning plans: what must be true, what evidence would change the decision, which experiments or user signals matter, and when the team should revisit the direction - Build lightweight operating mechanisms for critical work — owners, state, dependencies, decisions, risks, release criteria, and follow-through — without imposing a software-development process on research - Bring qualitative and quantitative evidence about model behavior and real workflows into research prioritization, ensuring user knowledge is represented accurately rather than flattened into feature requests - Connect research, product, infrastructure, safety, and leadership when a decision spans teams or when local optimization creates a broader product or model tradeoff - Support the path from research result to usable capability: internal adoption, evaluation, documentation, release readiness, product integration, and feedback after launch - Write clear narratives that explain what the team has learned, what remains uncertain, what decisions are needed, and why the work matters - Take on the unowned work that is necessary to move a critical research-product outcome forward Skills and Qualifications Minimum qualifications: - Experience as an early or first product leader in a technical startup, AI lab, research organization, or new product area where the role and operating model were not defined for you - Experience working closely with model training, post-training, RL, evaluations, data, safety, inference, developer platforms, or another technically demanding research-product area - Ability to understand research deeply enough to earn trust, ask sharp questions, and connect technical choices to model behavior and users without overstating your expertise - Strong track record identifying the missing connection, unresolved assumption, or cross-team decision that specialists may not see while deep in the work Preferred qualifications: - Ability to represent user and product truth in a research environment without reducing research to a list of customer requests - Comfortable making progress when the goal, metric, or path is still evolving, and the correct next step may be a learning loop rather than a launch - Clear communicator who handles disagreement without ego and is willing to change a recommendation when the evidence changes - Motivated by senior IC ownership and proximity to the work more than a large PM team or a conventional product ladder - Background as a research product leader or early AI product leader at a frontier lab, model company, or technically ambitious startup; a technical founder, former engineer, or applied scientist who moved into product; a PM for model training, post-training, evaluation platforms, data systems, ML infrastructure, or developer platforms; or the first PM at a company that turned a novel technical capability into a product, category, or developer ecosystem Logistics - Location: This role is based in San Francisco, CA. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $400,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We're hiring a Full Stack Engineer to help conceive, build, and ship new AI-powered products from the ground up. You'll work on early-stage product ideas that sit at the edge of what our models can do — moving from prototype to something real people rely on, often within weeks rather than quarters. This role sits at the intersection of product, design, and research. You'll partner closely with researchers to translate emerging model capabilities into interfaces and experiences, and with product and design to figure out what's worth building next. You'll frequently be the first engineer on a given idea, which means real ownership over both the technical direction and the product itself. We're looking for someone who is energized by ambiguity, comfortable working across the entire stack, and motivated by getting new things in front of real users quickly. WHAT YOU'LL DO - Design, build, and ship full stack features across our web applications — from backend services and APIs to production-quality frontend interfaces. - Prototype rapidly with new and emerging model capabilities, turning early research results into usable product experiences. - Take new product ideas from a rough concept to a live surface that real users can try, iterating quickly based on feedback. - Partner with researchers to understand model behavior, constraints, and capabilities, and translate them into product decisions. - Work with design and product partners to define what to build, not just how to build it. - Own the technical architecture of the products you build, including decisions about scalability, reliability, and maintainability as they mature. - Help set engineering practices and technical standards for a growing product engineering team. SKILLS & QUALIFICATIONS MINIMUM QUALIFICATIONS - 5+ years of professional software engineering experience, with demonstrated ownership across both frontend and backend systems. - Strong track record shipping production web applications end to end, from data model and API design through polished user-facing interfaces. - Comfort working in ambiguous, fast-changing environments where product direction is still being discovered. - Experience making pragmatic technical tradeoffs to move quickly without accumulating unmanageable risk. PREFERRED QUALIFICATIONS - Experience building products on top of large language models or other frontier AI systems, including working around their quirks and limitations. - A strong product sense — you enjoy figuring out what's worth building as much as how to build it. - Experience as an early or founding engineer at a startup, or leading a product from 0 to 1. - Familiarity with modern frontend frameworks and a good eye for interface design and usability. - Experience with distributed systems, infrastructure, or backend performance work at scale. - A history of working closely and effectively with researchers, designers, or other non-engineering partners. LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $350,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Thinking Machines Lab

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We're hiring a Site Reliability Engineer (SRE) to keep our post-training and reinforcement learning (RL) systems fast, reliable, and easy for researchers to iterate on. Think of this as a production engineering or site reliability role built around model training: you'll own the health of the training runs, clusters, and pipelines that power post-training and RL at Thinking Machines. You'll work side by side with research teams during active model runs — debugging failures in real time, hardening infrastructure against the next class of problem, and building the tooling and automation that let researchers spend their time on the science instead of babysitting jobs. This role has real ownership: you'll be the person a research team calls when a run stalls at 2am, and the person who makes sure it doesn't happen again. WHAT YOU’LL DO - Own the reliability, performance, and uptime of large-scale post-training and RL training jobs, from launch through completion - Partner directly with research teams during active model runs, embedding with them to unblock training and speed up iteration - Debug failures across the full stack — accelerators, networking, storage, schedulers, and training frameworks — and drive issues to root cause - Build monitoring, alerting, and automated recovery so runs self-heal or fail fast instead of silently stalling - Improve checkpointing, fault tolerance, and job scheduling so hardware failures cost minutes, not days of compute - Build internal tools that reduce toil and improve cluster utilization across post-training and RL workloads - Participate in an on-call rotation supporting production model runs - Write postmortems and turn recurring failure patterns into permanent infrastructure fixes SKILLS & QUALIFICATIONS MINIMUM QUALIFICATIONS - 4+ years of experience as a production engineer, site reliability engineer, or infrastructure engineer operating large-scale distributed systems in production - Track record debugging complex failures across distributed systems — networking, hardware, kernel, or scheduler issues - Strong software engineering skills in Python and/or Go/C++, with the judgment to know when to script a fix versus build a system - Solid grounding in Linux systems internals and networking fundamentals - Comfortable owning production systems, including participating in on-call rotations PREFERRED QUALIFICATIONS - Experience operating GPU or TPU training clusters at scale - Familiarity with post-training and RL techniques (e.g., RLHF, PPO, DPO) and the infrastructure challenges specific to them, such as reward model serving, rollout generation, and mixed training/inference workloads - Experience with distributed training frameworks (e.g., PyTorch, Ray) and job schedulers (e.g., Slurm, Kubernetes) - Experience with high-performance networking (e.g., InfiniBand, RDMA, NCCL) and its role in distributed training performance - Experience building observability tooling purpose-built for ML training, not just general infrastructure - A track record of thriving in fast-changing, research-driven environments where priorities shift with the science LOGISTICS - Location: This role is based in San Francisco, CA. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000- $350,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.