About the Role

We're hiring a compensation partner to join our Operations team. You'll own the full spectrum of compensation at Thinking Machines – from building our philosophy and job architecture to partnering on day-to-day offer and pay decisions. 

This role directly impacts our ability to hire and retain exceptional talent. We're looking for a compensation partner who brings a point of view, not just a process.

What You’ll Do

• Design and implement Thinking Machines’ overall compensation framework and programs to attract and retain highly sought-after talent.
• Advise managers and leadership on pay decisions across offers, promotions, and retention.
• Establish our compensation strategy based on market research, analysis, and your own judgment, with awareness that standards benchmarks lag the reality of the talent market.
• Build the equity compensation framework in partnership with finance and leadership.
• Communicate compensation to candidates and employees in a clear way that builds trust. 

Skills and Qualifications

Minimum qualifications:

• 7+ years of compensation experience in a high-growth environment.
• Track record building compensation programs from the ground up, ideally in an early-stage environment.
• Experience operating in a competitive and dynamic talent market without relying on benchmarks and mature processes.
• Ability to articulate a clear point of view on good compensation philosophy.

Preferred Qualifications

• Experience at an AI lab, foundation model company, or high-growth tech company where compensation moves faster than survey cycles.
• Familiarity with the compensation landscape across research (PhDs, postdocs, industry researchers), engineering, and non-technical functions, and how expectations differ meaningfully across all three.

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 $250,000 - $425,000 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.

About the Role

We're hiring a Recruiting Coordinator to help us build a best-in-class recruiting engine as we scale. This is a coordination-heavy role, but the scope goes beyond scheduling - you'll own the systems and processes that keep the team organized and moving, and you'll be expected to improve them over time.

This means helping to build the processes, documentation, and systems that grow with us, not just executing the ones that already exist. Beyond scheduling, you'll plug into broader recruiting operations such as talent mapping, reporting, referral processing, and events - wherever the team needs support.

What You’ll Do

Recruiting Operations

• Maintain data integrity across our ATS and recruiting tools - audit regularly and keep things accurate.
• Support talent mapping, referral processing, inbound application triage, and recruiting events.
• Track interview feedback completion and follow up to make sure nothing stalls.
• Identify process gaps and propose improvements - this role is expected to make the function better, not just execute.
• Collect, organize, and audit interview feedback to ensure nothing gets lost or delayed.
• Maintain up-to-date recruiting information in documentation and in Slack, support data integrity across recruiting systems.

Candidate Scheduling & Experience

• Manage high-volume interview coordination across multiple time zones, calendars, and stakeholders while maintaining a world-class candidate experience.
• Coordinate all interview logistics, from travel and expenses to room setup and technical support.
• Serve as the main point of contact for candidates, communicating in a warm, professional, and informative manner from initial screening through offer.
• Anticipate scheduling bottlenecks before they happen: monitor interviewer availability, flag conflicts early, and keep hiring velocity high.
• Scale interviewer pools by partnering with teams to identify, train, and prepare new interviewers as hiring volume grows
• Use modern scheduling tools (e.g., Greenhouse, ModernLoop) to automate scheduling, reduce manual work, and improve response speed
• Manage high-volume scheduling across time zones, calendars, and multiple stakeholders.

Skills and Qualifications

Minimum qualifications:

• Experience coordinating schedules, managing calendars, or supporting operations in a fast-paced environment
• Excellent written and verbal communication skills, especially in direct candidate communications
• Ability to adapt quickly to different teams, roles, and ways of working without losing your footing
• Comfortable with Google Workspace, scheduling tools, and Slack
• A do-what-it-takes mindset: you’re proactive, detail-oriented, and don’t let things fall through the cracks

Preferred qualifications — we encourage you to apply if you meet some but not all of these:

• 1+ years in a high-volume scheduling or recruiting coordination role
• Experience with ATS, HRIS, and scheduling tools like Greenhouse, GoodTime, Workday, and ModernLoop.
• Experience partnering closely with recruiters and hiring managers
• Proven ability to be proactive in ambiguous situations and propose multiple solutions
• Experience supporting technical or leadership-level 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 $140,000 - $200,000 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.

HR Business Partner

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. 

We are a small team of scientists, engineers, and builders who've created some of the most widely used AI products including ChatGPT, Character.ai, and PyTorch. As we scale our team, some of the hardest challenges we face are about empowering and aligning our people and helping our managers make crucial decisions under uncertainty.

About the Role

The new role of HR Business Partner will combine two tasks: leadership coaching, and people systems design. The two require different skillsets, but a shared vision for managing talent.

You will coach managers at Thinking Machines Lab to be more effective leaders. You will provide strategic support on researcher and engineer performance, team dynamics, and personal growth. You will also build the people infrastructure that will scale this support as the company grows: performance and feedback systems, compensation structures, and career frameworks.

What You’ll Do

• Coach managers by observing how they lead, identifying strengths and blind spots, and working on continuous improvement.
• Advise leadership on organizational decisions: team structure, succession planning, and strategic people choices that shape how we work.
• Design compensation structures that let us compete for the best machine learning talent in the world while staying aligned on values and principles.
• Create career/leveling frameworks that work for a research lab where career advancement often doesn’t mean managing people, contributions such as mentorship and taste are harder to measure, and where senior researchers expect to grow and learn even after a decade in the role.
• Build feedback and evaluation processes that help people improve, not just get measured.

Skills and Qualifications

Minimum qualifications:

• 5+ years experience working as a people leader or HR business partner in a high-growth technical environment.
• Fluency with employment law and best practices in North America.
• Proven track record of developing HR practices and supporting a diverse set of talent.

Preferred qualifications:

We encourage you to apply even if you don’t meet all preferred qualifications.

• 10+ years experience as a people leader or HR business partner.
• Experience in setting up novel systems that scale in a fast-growing company.
• Coaching experience that showcases a skill set in providing confidential support, motivating improvement, and conflict resolution.
• Track record of supporting a high trust and low ego environment for high caliber talent with strong retention and growth.

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 $190,000 - $300,000 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.

About Tinker

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. Tinker is rapidly adding new customers, features, and novel use-cases. We’re hiring to grow the platform alongside the Tinker community.

About the Role

We're hiring a GTM Strategy & Operations lead to build the commercial engine for Tinker. You will craft the strategies, processes, and playbooks that turn organic adoption into a scalable, repeatable revenue engine. You'll drive how we package, price, launch, and sell fine-tuning capabilities across segments, working in close partnership with product, engineering, and research. 

Tinker is a technical product sold to sophisticated buyers. The GTM lead needs to be credible in conversations about training infrastructure and fluent in how developers evaluate and adopt tools.

What You’ll Do

• Design and execute commercialization strategies — pricing, packaging, launch sequencing — based on market and competitive research.
• Develop Tinker's go-to-market motions across customer profiles.
• Manage partnerships to expand Tinker's distribution and unlock new demand channels.
• Design customer pilots, onboarding flows, and expansion playbooks that move accounts from experimentation to production spend.
• Build commercial playbooks that enable Tinker's customer-facing engineers and FDEs to position and sell the platform effectively.
• Define and track success metrics for launches and GTM initiatives, running experiments to validate pricing and packaging hypotheses.

Skills and Qualifications

Minimum qualifications:

• Track record of executing GTM strategy, product commercialization, or business operations at a technology company.
• Experience selling a highly technical product to technical buyers while building trust and credibility.
• Proven ability to take strong product-market fit and build the commercial scaffolding around it — segmentation, pricing, packaging, expansion motions.
• Proficiency with analytics: financial models, metrics frameworks, and using data to drive commercialization decisions.

Preferred qualifications — we encourage you to apply if you meet some but not all of these:

• Experience at a developer infrastructure, API, or ML platform company.
• Experience with ecosystem partnerships.
• Technical fluency sufficient to engage credibly with ML engineers and researchers on fine-tuning workflows, model customization, and training infrastructure tradeoffs.
• Direct experience with new product introductions or other 0-to-1 commercial programs.
• Familiarity with the AI ecosystem — who's building what, where adoption energy is moving, and how the competitive landscape for fine-tuning is evolving.
• Experience building GTM processes and playbooks that scaled beyond yourself into a team.

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 $175,000 - $300,000 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.

About the Role

We're hiring an Executive Business Partner to support several technical 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 3-4 technical leaders
• Serve as the primary point of contact between your supported leaders and the rest of the company
• Support recruiting coordination efforts
• Track projects and commitments so nothing falls through the cracks

Skills and Qualifications

Minimum qualifications:

• 4+ years of executive or administrative support experience, ideally in AI labs or tech startups
• Track record of supporting technical leaders such as engineers or researchers

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
• Having followed an executive to a new company

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 - $250,000 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.

About the Role

We are hiring our first technical sourcer to ensure that Thinking Machines has a pipeline of exceptional candidates for technical roles. You will develop a sourcing strategy that meets both challenges: identifying and tracking the best talent, and getting them interested in our company. This role requires nurturing relationships, understanding technical fields, and staying focused on the long game.

What You’ll Do

• Map the talent landscape for researchers and engineers across companies, open-source communities, research labs, and technical ecosystems.
• Run high-volume outreach through social media and direct channels. 
• Plan events that build our recruiting pipeline: coding competitions, happy hours, dinners, conference presence. 
• Build community engagement via outreach, in-person networking, and referrals.
• Maintain a candidate database with important context for recruiters, track the performance of our candidate pipeline over the long term.
• Partner with hiring managers to translate staffing requirements into a sourcing strategy.
• Help ensure our reputation attracts the world’s best talent to Thinking Machines.

Skills and Qualifications

Minimum qualifications:

• 4+ years of technical sourcing experience, ideally at high-growth startups or competitive technical environments.
• Track record of sourcing for specialized roles where candidates need to be found, not filtered.
• Proficiency with sourcing tools (LinkedIn Recruiter, GEM, Juicebox, or similar).
• Strong research, mapping, and market intelligence skills.
• Ability to assess technical candidate quality from a GitHub profile or research paper

Preferred qualifications — we encourage you to apply if you meet some but not all of these:

• Experience sourcing for roles in ML research, infrastructure, and similar areas in AI.
• Existing network in AI/ML communities.
• Experience partnering with senior technical leadership to build out their organization
• A genuine interest in technology, artificial intelligence, and their potential for positive impact on humanity.

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 $150,000 - $250,000 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.