# Member of Technical Staff, Enterprise Evals Platform at Mercor

- Company: Mercor
- What the company does: Mercor is organizing human intelligence to power the AI economy. We are powering frontier research, AI benchmarks, and AI agent training at scale for the top AI labs and enterprises. Backed by General Catalyst and Menlo.
- Company website: https://mercor.com/
- Type: Startups
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $220K to $425K base salary per year (USD)
- Posted: 2026-08-15
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/mercor/35e1923b-3c1c-4bb4-94d6-ef3a529ef871
- Page: https://www.1752.vc/careers/jobs/mercor-member-of-technical-staff-enterprise-evals-platform/

## About the role

Enterprise agents are complex systems, and they only pay off when their work is reliable and economically viable. Evaluation is how you get both: checking correctness is the obvious case, and routing is the subtler one, since choosing a model against cost, latency, and quality requires quality to be measurable at all. Knowing where the bar sits is the hard part. You decompose real work, take the standard from the practitioners who hold it, and encode it so an agent cannot shortcut it.

## What they're looking for

- Professional, academic, or research experience in agent engineering and evaluation, including how agent runtimes and harnesses produce a trajectory and where it fails
- Experience building evaluation suites for LLM or agent systems, and familiarity with how benchmarks such as terminal-bench, tau-bench, and APEX are constructed and where they get gamed
- Judgment about task and rubric design: turning a fuzzy notion of quality into something measurable, with agent or model improvements to show for it
- Strong software engineering fundamentals, and the ability to work independently on ambiguous, loosely specified problems
- Bonus: experience with Harbor environments and RL environments

Tags: Engineering