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.

What This Person Owns

The infrastructure every data-driven team at Mercor runs on: Snowflake, Fivetran, Airflow, and Hex. You own how data is organized, who can access what, what it costs to run, and how reliably it operates. This is a foundational hire on a new Data Platform team, you'll help set the standards other engineers build against.

What They Do Day-to-Day

- Bring structure and clear ownership to how data is organized in Snowflake across projects and teams

- Design narrow, role-based access controls, and partner with automation so access is granted and revoked as people join, change teams, or leave

- Extend row access policies and PII masking across all sensitive datasets

- Migrate data from a variety of vendor and internal sources into properly owned, governed homes

- Own Fivetran connector health and cost, Airflow/Astronomer pipeline reliability and on-call, and Hex governance across company-wide dashboards

- Monitor and right-size Snowflake warehouse spend

- Help build CDC/streaming ingestion and other internal data platform tooling

What We're Looking For

- Hands-on experience with Snowflake administration: roles, grants, warehouses, cost/performance tuning

- Experience designing data access and governance models (RBAC, row-level security, PII) at scale

- Comfort owning vendor tooling end to end (Fivetran, Airflow/Astronomer, or similar), including on-call

- Track record migrating or re-architecting live production data systems without breaking dependent teams

- Strong SQL and Python, with infrastructure fluency to make judgment calls, not just execute a spec