About the Role

As a Research Product Manager (RPM) at Thinking Machines Lab, you’ll play a central role in driving complex, high-impact technical products and programs that span research, infrastructure, and applied. You’ll help turn ambitious ideas into reality by driving cross-functional efforts, maintaining momentum across projects, and creating clarity in fast-moving, ambiguous environments.

Your work will connect people, ideas, and systems to ensure that our most important research initiatives stay aligned, well-scoped, and moving forward efficiently. It’s for someone who thrives in deeply technical discussions, understands the rhythm of research, can abstract at high-level and get into the weeds, with the ultimate goal of helping the company execute at scale.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You’ll Do

• Drive and coordinate large-scale research products and programs, ensuring that complex projects are executed efficiently, transparently, and with scientific excellence.
• Translate technical ideas into actionable, well-scoped plans, defining milestones and keeping teams aligned across model development, data campaigns, infrastructure, and product integration.
• Collaborate across disciplines — from research and ML infrastructure to legal and business development — ramping up quickly on new domains as needed.
• Create and maintain compute and resource roadmaps, identifying bottlenecks, trade-offs, and opportunities to accelerate progress.
• Synthesize and communicate progress across diverse technical teams, ensuring the right people are looped in at the right time and that information flows smoothly across the organization.
• Support the integration of new technologies and research insights into production systems and product roadmaps, bridging the gap between frontier research and real-world applications.

Skills and Qualifications

Minimum qualifications:

• Degree in computer science, artificial intelligence, mathematics, physics, engineering, or similar
• Experience in research program management, product management, or similar

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

• Masters or PhD in computer science, artificial intelligence, mathematics, physics, engineering, or similar
• Past experience at a frontier or academic research lab, contributing to research in artificial intelligence
• Past publications relevant to artificial intelligence or frontier models, with contributions to areas like evals, multimodality, human-ai interaction, post-training, pre-training, data, or other similar domains needed to conduct frontier AI research
• Ability to learn new technical domains
• Strong technical communication, written and verbal

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 - $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.

About the Role

We’re looking for an infrastructure engineer to own and evolve the security infrastructure that underpins our foundation models. In this role, you’ll work across compute, storage, networking, and data platforms, making sure our systems are secure, reliable, and built to scale. You’ll shape controls, architecture, and tooling so that security is part of how the platform works by default. You’ll partner closely with research and product teams, enabling them to move quickly while keeping our models, data, and environments protected.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You’ll Do

• Architect security patterns for platforms and services, including network segmentation, service-to-service authentication, RBAC, and policy enforcement in Kubernetes and cloud environments.
• Manage identity, access, and secrets for humans and services: workload and cross-cloud identity, least-privilege IAM, and secrets management.
• Build secure platforms for data ingestion, processing, and curation: classification, encryption, access controls, and safe sharing patterns across teams.
• Write threat models and review designs with researchers and engineers to help them ship features and experiments in a safe, scalable way.
• Automate security checks and build guardrails: policy-as-code, secure infrastructure baselines, validation in CI/CD, and tools that make the secure path the easiest one.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in engineering, or similar.
• Strong background with containers and orchestration (e.g., Kubernetes) and how to secure them (namespaces, network policies, pod security, admission controls, etc.)
• Practical experience with Infrastructure as Code (Terraform or similar), including secure patterns for provisioning networks, IAM, and shared services.
• Solid understanding of cloud networking and security: VPCs, load balancers, service discovery, mTLS, firewalls, and zero-trust-style architectures.
• Proficiency with a systems language such as Rust and scripting in Python for building platform components and internal tools.
• Evidence of owning complex, production-critical systems, including debugging issues that span infra, security, and application layers.

Preferred qualifications — we encourage you to apply if you meet some even if you don't meet all of these:

• Experience with ML infrastructure, GPU clusters, or large-scale training environments (schedulers, job queues, shared storage, multi-tenant clusters).
• Background in AI labs, HPC environments, or ML-heavy organizations where both security and performance are first-class concerns.
• Experience profiling and tuning high-throughput systems, and an ability to reason about the cost of additional security layers.
• Talks, blogs, or publications on infrastructure security, distributed systems, or performance engineering.
• Open-source contributions to security, orchestration, observability, or infrastructure tooling.
• Familiarity with securing specialized hardware (GPUs, TPUs) and their integrations into training and inference pipelines.

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 $200,000 - $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.

About the Role

We're hiring an Engineering Manager to lead a team of senior and staff-level engineers across ML infrastructure and product. You will help the team build and scale systems that are reliable, performant, and easy to operate.

This role combines collaboration with hand-on work. You’ll partner with tech leads to set the technical direction for your team and own its execution. You should also be ready to go deep on system design and contribute directly when needed.

What You’ll Do

• Lead and grow a team of senior and staff-level engineers, setting clear expectations and maintaining a high bar for execution.
• Own architecture, system design, and long-term technical direction for your team's systems, with emphasis on reliability and performance.
• Contribute directly to design reviews, prototyping, and debugging critical issues.
• Partner with researchers and product teams to define roadmaps and prioritize work.
• Hire and close senior engineering talent. Mentor engineers into technical leaders.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent industry experience in computer science, engineering, or similar.
• 8+ years of experience building and scaling production systems, including system design and distributed systems.
• 3+ years of engineering management experience in high-growth environments.

Preferred qualifications — we encourage you to apply even if you don’t meet all preferred qualifications, but at least some:

• Experience managing teams of senior or staff-level engineers.
• Background in infrastructure, systems engineering, or developer productivity.
• Familiarity with AI/ML systems, data infrastructure, or high-performance computing.
• Track record of building or contributing to widely used systems, platforms, or tools.

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 $400,000 - $500,000 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 designer to define how people experience our artificial intelligence. You will own aspects of the whole stack, from the interface used by our customers and developers to the model behavior itself. Along with our researchers and engineers, you will co-design AI model experiences that feel intuitive, empowering, and crafted with care.

You will need to combine your design instincts with an understanding of how cutting-edge AI is trained and evaluated. This role requires exceptional taste, conceptual thinking, and the technical skills to ship your work in code. 

What You’ll Do

• Design end-to-end product experiences from early concepts and high-fidelity prototypes through high-fidelity UI and implementation in code.
• Contribute to our design system that helps a small team move fast without sacrificing craft.
• Participate in model training and evaluation to guide model behavior with AI researchers.
• Contribute to brand, storytelling, demos, and external-facing materials as needed.

Skills and Qualifications

Minimum qualifications:

• Portfolio demonstrating exceptional visual craft and strong interaction design.
• Codes and ships their own work — not mockups, but live prototypes and real features.
• Track record of taking ownership and initiative in ambiguous and dynamic situations.
• Interest in AI development: evals, post-training, model behavior.

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

• Experience with production frameworks (React, Swift, or similar).
• Track record of using AI tools and agents to accelerate your design and development workflows.
• Prior design work on AI products or other novel interaction paradigms where established design patterns don't exist yet.
• Familiarity with machine learning concepts.
• Experience contributing to or building design systems and component libraries.

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.

About the Role

As data partnerships lead at Thinking Machines Lab, you'll own the end-to-end pipeline of data procurement for frontier model training, from understanding what our research teams need, to sourcing and closing providers, to managing the quality and delivery of data. You will be the connective tissue between research, legal, and external vendors, making sure the right data reaches the right teams at the right time.

This role is ideal for a technical-leaning person who wants to get deep into the data world in service of an ambitious research agenda. You'll need to be comfortable context-switching between planning out the data needed for training runs and negotiating pricing with data vendors. Over time, you'll build the repeatable, scalable processes that allow our data operations to keep pace with the speed of our research.

What You'll Do

• Drive and coordinate data procurement initiatives end-to-end, ensuring that complex sourcing efforts are executed efficiently, transparently, and with scientific rigor.
• Partner closely with research teams to proactively understand data needs across pre-training, post-training, and evaluation workstreams, staying ahead of the roadmap rather than reacting to requests.
• Source, evaluate, and onboard data providers, building and maintaining a pipeline of potential vendors across domains.
• Negotiate pricing, licensing terms, and contract structures with data providers, working alongside legal to close agreements that serve our research goals.
• Evaluate incoming data alongside researchers, assessing quality and coverage for intended training objectives.
• Monitor and manage ongoing data deliveries, including tracking schedules, flagging issues, and ensuring what we receive matches what was agreed upon.
• Build repeatable, scalable processes around the full data procurement lifecycle so that sourcing new data becomes faster and more systematic over time.
• Translate technical data requirements into actionable plans with clear milestones, keeping teams aligned across research, infrastructure, legal, and external partners.
• Synthesize and communicate progress across diverse stakeholders, ensuring the right people are informed at the right time and that nothing falls through the cracks.

Skills and Qualifications

Minimum qualifications:

• Degree in computer science, artificial intelligence, mathematics, physics, engineering, or similar.
• Experience in data pipelines, procurement, and operations, or a similar role.

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

• Masters or PhD in computer science, artificial intelligence, mathematics, physics, engineering, or similar.
• Experience working with data at or for frontier AI labs, including sourcing, evaluating, and managing large-scale data pipelines.
• Experience at a frontier or academic research lab, contributing to research in artificial intelligence.
• Familiarity with the data provider landscape and the commercial, legal, and technical considerations involved in data licensing.
• Ability to learn new technical domains quickly and operate comfortably in ambiguity.
• Strong technical communication, written and verbal.

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–$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.