Software Engineer, Identity

Mercor


Job Location:

San Francisco, CA - USA

Yearly Salary: USD 150000 - 325000
Posted on: 2 days ago
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

About Mercor

Mercors 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 cant be captured in code alone. Today more than 30000 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. Youll 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.

Why This Role

Mercors identity infrastructure is unlike anything else in the Valley. Our enterprise Slack alone spans thousands of workspaces and tens of thousands of channels with over 63000 users today the vast majority of whom are contractors and experts not employees. That number is on track to hit 100000. Managing access identity and permissions at that scale across a global expert network spanning every client project we run is one of the hardest distributed systems problems we have.

This team is led by Mercors first engineer. It operates with a high degree of ownership: youll take requirements directly from operations design the system and ship it. Theres no one handing you a spec. The problems are novel the scale is real and the team has a strong track record of bringing in sharp product engineers regardless of prior security background and watching them thrive.

What Youll Do

  • Talk directly with ops teams to understand business requirements then translate them into large-scale distributed systems that are designed with security in mind from the start

  • Build and scale the infrastructure that manages expert identity and access across thousands of Slack workspaces enterprise groups and HR systems systems that already operate at a scale most engineers never encounter

  • Own your scope end to end: define the approach build it and iterate on it as requirements evolve

  • Design for the security implications of what youre building not auditing after the fact but thinking through how gaps in system design compound at scale

  • Work across authentication authorization provisioning and directory sync as the expert network continues to grow

What Were Looking For

  • Strong product engineering fundamentals youve built and operated systems in production you care about correctness and reliability and youre comfortable owning scope without a lot of hand-holding

  • Large-scale distributed systems experience this is the most identifiable signal on a resume and a strong filter; the problems here are genuinely unprecedented in scale

  • Security-minded thinking not a formal background necessarily but the instinct to ask how does this break and what are the consequences when designing a system

  • Adaptability we dont want someone who will come in and replicate what theyve done before; Mercors landscape is unique and requires genuine intellectual flexibility

Benefits

  • Generous equity vested over 4 years

  • Up to $15K relocation bonus

  • $10K housing bonus (if you live within 0.5 miles of the office)

  • $1500/month meals stipend

  • Free Equinox membership

  • $200/month laundry reimbursement

  • $200/month personal wellness reimbursement

  • Health Dental and Vision insurance


Required Experience:

IC

About MercorMercors 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 ...

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