Member of Technical Staff - Product

Collinear AI

Sunnyvale (CA)

On-site

USD 150,000 - 190,000

Full time

31 hours ago
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Job summary

Collinear seeks a Member of Technical Staff - Product to decide what Collinear builds and then build it. You’ll work directly with researchers and engineers at cutting-edge AI labs, translating hard problems into shipped products that advance how frontier agents are trained and evaluated.

This is a high-ownership role at the intersection of Product, Engineering, and Research. You’ll shape the roadmap, prototype solutions, contribute code, run experiments, and drive ideas from customer needs to

Qualifications

  • Strong product judgment and ability to create clarity from loosely defined technical problems.
  • Technical fluency to navigate unfamiliar codebases, architectures, and data flows.
  • Experience with developer tools, AI infrastructure, evaluation systems, data platforms, or workflow products.
  • Ability to reason about quality and what evidence proves something works.
  • Effective communication with researchers, engineers, customers, and leadership.

Responsibilities

  • Set product strategy and internal roadmap to ship environments, tasks, and evaluation data.
  • Collaborate closely with researchers and engineers to understand how they build and evaluate agents.
  • Own key product areas (environments, eval and quality systems) from discovery to launch.
  • Turn ambiguous research needs into clear product bets, prototypes, and measurable outcomes.
  • Drive cross-team projects from discovery to delivery with prototypes, tests, and reviews.
  • Maintain alignment with customers and cross-functional teams via roadmaps, demos, and playbooks.

Skills

Product judgment
Technical fluency
Developer tools
AI infra
Quality mindset
Clear communicator
Fast-moving environment
Accountable ownership
AI development tools

Job description

Collinear builds high-fidelity environments, tasks, and evaluation infrastructure that frontier AI teams use to understand and improve their agents.

About the role

As a Member of Technical Staff - Product, you will help decide what Collinear builds, and then build it. You’ll work directly with researchers and engineers at cutting-edge AI labs, identify their hardest problems, and turn those problems into products that advance how frontier agents are trained and evaluated.

This is a high-ownership, hands-on role at the intersection of Product, Engineering, and Research. You’ll shape Collinear’s product roadmap, prototype solutions, contribute code, run experiments, and work with the team to take ideas from ambiguous customer need to a product used in real research workflows.

What you’ll do
  • Set the product strategy and internal roadmap so the team ships the environments, tasks, and evaluation data that address the hardest open problems at frontier labs
  • Work directly with researchers and engineers at leading AI labs, becoming deeply familiar with how they build, evaluate, and improve agents
  • Own important technical product areas such as agent environments, eval and quality systems, etc., from initial discovery through launch and iteration
  • Turn ambiguous research and customer needs into clear product bets, requirements, prototypes, and measurable outcomes
  • Drive projects from discovery through delivery. Coordinate implementation across research and engineering teams while contributing directly through prototypes, code changes, tests, technical reviews, and debugging when that is the fastest path forward.
  • Keep customers and cross-functional teams aligned through clear roadmaps, demos, and playbooks, communicating progress, tradeoffs, risks, and decisions clearly
About you
  • You have strong product judgment and can create clarity from loosely defined technical problems
  • You are technically fluent enough to navigate unfamiliar codebases, understand system architecture and data flows, debug failures, review pull requests, and make focused implementation changes
  • You have worked on developer tools, AI infrastructure, evaluation systems, data platforms, workflow products, or similarly technical products
  • You can reason carefully about quality: what should be measured, what evidence proves something works
  • You communicate effectively with researchers, engineers, customers, and company leadership, adjusting the level of technical detail without losing precision
  • You operate well in a fast-moving environment where the roadmap evolves as new customer and model evidence emerges
  • You are comfortable being accountable for the outcome even when you are not the sole implementer
  • You are an unusually effective user of AI development tools and know that generated work still requires strong scoping, review, testing, and judgment
Nice to have
  • Experience with AI agents, evaluations, benchmarks, reinforcement-learning environments, task generation, or verifier design.
  • Familiarity with computer-use or MCP-based agent environments.
  • Experience designing quality or release systems for technically complex customer deliverables.
  • Experience working directly with frontier AI labs, applied research teams, or enterprise technical customers.
  • Early-stage startup experience spanning product, engineering, operations, and customer delivery.
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