About the role
About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About
the Role As a Member of Technical Staff on the Talent Experience team, you'll build the systems that evaluate the skills and expertise of the world's top talent at scale. Assessment is at the core of how Mercor works: every expert in our network is vetted, matched, and continuously evaluated through our assessment platform. You'll own backend-heavy, full-stack work across this platform—designing evaluation pipelines, building the services that power AI-assisted interviews and skill verification, and shipping the product surfaces that tens of thousands of candidates and experts interact with every day. You'll work directly with the Assessment product lead on roadmap and execution, with significant ownership from day one. This is a high-leverage role: improvements to assessment quality and throughput compound across everything Mercor does. You Will Design, build, and ship backend services and APIs that power Mercor's assessment platform at scale. Own features end-to-end—from product discussions and technical design to implementation, testing, and release. Build evaluation pipelines and data models that combine human judgment with AI-powered scoring. Contribute across the stack, including the candidate- and expert-facing product surfaces of assessment flows. Partner closely with Product, AI, and Data teams to translate assessment research into production systems. Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar. Improve the performance, reliability, and observability of assessment infrastructure. Solve real customer problems and continuously improve candidate and expert experience.
What We're Looking For 3+ years of professional software engineering experience building production systems. Strong backend fundamentals: API design, data modeling, distributed systems, and relational databases. Comfortable working across the stack, including modern frontend frameworks (e.g. React/TypeScript) when the product needs it. Experience building or integrating LLM-powered features in production is a strong plus. Comfortable building products using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, Codex, or similar) to accelerate software development. Strong software engineering fundamentals, including testing, debugging, and performance optimization. Excellent product intuition—you enjoy building products that people actually use. Comfortable working in fast-moving environments with evolving priorities. High ownership, curiosity, and a bias toward shipping. Why this role matters Impact: Build the evaluation systems that decide how tens of thousands of AI experts are matched to the world's most important AI work. Ownership: Join a small, high-velocity engineering team where you'll own features end-to-end and shape the assessment roadmap from day one. Learning: Work alongside world-class engineers, product leaders, and AI researchers building products at the frontier of AI. Growth: Rapid career progression with opportunities to expand ownership as the assessment platform and engineering organization scale.
Benefits Bi-annual performance
bonus structure Generous equity grant vested over 4 years Up to $15k Relocation
bonus $10K proximity
bonus (if you live within 0.5 miles of our office) $1.5K monthly stipend for meals Free Equinox membership $200 monthly laundry reimbursement $200 monthly personal wellness reimbursement Health, Dental, Vision insurance
About Mercor
Mercor presents an AI-powered platform that helps connect domain experts with roles in AI and other tech disciplines. It supports sourcing, vetting, and payment for talent, offering remote, expert-level assignments across fields like Software Engineering, Consulting, Data, and Legal. Additionally, the platform includes an interview preparation section where candidates can access hundreds of expert-reviewed mock interviews in areas such as Software, Design, Security, and Analytics. Mercor uses machine-driven interview tools to assess candidate performance, aiming to streamline how expertise is matched to project work.
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Job details
Location
San Francisco, CA
Funding
Total raised
$492M
Last stage
Series C
Investors
Founders
Brendan Foody
Co-Founder & CEO
Surya Midha
Co-Founder & Board Chairman
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.
