Mercor · Engineering · Unspecified · Posted 2026-07-01
Software Engineer, Identity
Mercor · San Francisco · $160k–325k base
This range's midpoint is above 61% of posted engineering ranges at AI companies right now. See the salary index.
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ABOUT MERCOR
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
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.
WHY THIS ROLE
We build systems that make billions of authorization decisions a week for hundreds of thousands of users, most of them contractors and experts rather than employees. A typical company's IdP models a few thousand employees. Ours models a global expert network where membership turns over constantly, every client engagement needs its own isolation boundary, and a wrong permission can expose a frontier lab's data.
The team is small, led by one of Mercor's earliest engineers, and operates with a high degree of ownership. There's no spec handed to you: you own the product scope and direction, with the team weighing in on prioritization and technical detail.
EXAMPLES OF WHAT WE BUILD
IAM-Service is our authorization service for first-party surfaces. It sits in the hot path of every request across our own products, backed by SpiceDB, an open-source implementation of Google's Zanzibar. We model access as relationships rather than roles (ReBAC instead of RBAC), which is what lets us answer "can this person see this channel, in this workspace, on this project?" consistently and fast. Every millisecond here is felt across the platform.
Audiences is our rule engine for identity orchestration across third-party services. You declare who should have access to what; Audiences resolves that into concrete grants, pushes them into twenty downstream providers (Slack, Google Workspace, GitHub, and the rest), and keeps them reconciled as membership changes underneath. It turns "this expert joined this project" into working access everywhere within minutes, and "this contract ended" into revocation everywhere.
One Slack workspace per client project. It's provisioned automatically on Slack Enterprise Grid, and experts join as multi-channel guests scoped only to the channels their work requires, so a project brief in the morning can be a staffed workspace by the afternoon, and no expert carries information across client boundaries. More than 2,000 workspaces, over 85,000 active Okta accounts, one administrator. Slack wrote up how it works: How Mercor Coordinates a Global AI Workforce With Slack https://slack.com/customer-stories/mercor-story.
First-party authentication on WorkOS. Sign-in, session handling, and directory data for our own products move onto WorkOS, so they have one owner instead of being handled in several places. The interesting part is the migration: no flag day, no single moment where everything switches. People are logging in the whole time, so the existing paths keep serving traffic while the new one runs alongside them.
Moving GitHub to Enterprise Managed Users. EMU makes our IdP the source of truth for GitHub accounts: identities are provisioned, deprovisioned, and auditable the same way they are everywhere else we govern, and removing someone from the directory removes their GitHub access. The hard part is the cutover: mapping existing accounts to the identities we govern, and keeping a live engineering org and a large ex …
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