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.
About the RoleAs an Engagement Manager on the Code team, you will sell and deliver enterprise evaluations and post-training data for coding models and agents. Your customers are frontier AI labs, AI coding tool companies, and enterprise software organizations that need to measure and improve how their models perform on real-world engineering work.
You'll be the technical and commercial owner of each account: running discovery with ML researchers and engineering leaders, scoping custom evaluation and data programs, and working with Mercor's product, operations, and engineering teams to deliver them. This role carries a revenue target and plays a key part in growing Mercor's code business.
What You'll DoOwn a portfolio of AI labs, coding tool companies, and enterprise engineering teams, and run the full sales cycle from first technical conversation through signed contract and expansion
Run technical discovery to understand where a customer's models fall short on real software tasks, and turn that into a clear proposal
Scope and price enterprise evaluation and post-training data programs, such as coding benchmarks, SFT and RLHF datasets, and agentic coding tasks across languages, frameworks, and codebases
Lead technical demos and pilots, and convert pilot results into multi-quarter commitments
Work with product, operations, and engineering to recruit software engineering experts and deliver on quality and timelines
Forecast pipeline and revenue, and bring customer feedback back to Mercor's product and research teams
BS or MS in Computer Science or a related technical field
4+ years as a sales engineer, solutions engineer, solutions architect, or technical account executive at an enterprise B2B software company
A track record of closing and expanding six- and seven-figure enterprise deals with technical buyers
Hands-on coding ability: you can read a pull request, write a script, and discuss how a model fails on real code
Familiarity with how LLMs are trained and evaluated (SFT, RLHF, coding benchmarks such as SWE-bench), or a strong drive to learn it quickly
Excellent written and verbal communication with both researchers and executives
Competitive salary w/ aggressive bi-annual performance bonus structure + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry/housekeeping reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Up to $15k Relocation bonus
$10K proximity bonus (if you live within 0.5 miles of our office)
Skills Required
- BS or MS in Computer Science or a related technical field
- 4+ years of experience as a sales engineer, solutions engineer, solutions architect, or technical account executive at an enterprise B2B software company
- Track record of closing and expanding six- and seven-figure enterprise deals with technical buyers
- Hands-on coding ability, including reading pull requests, writing scripts, and discussing model failures on real code
- Familiarity with LLM training and evaluation, including SFT, RLHF, and coding benchmarks such as SWE-bench
- Excellent written and verbal communication with researchers and executives
Mercor Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mercor and has not been reviewed or approved by Mercor.
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Fair & Transparent Compensation — Pay is considered competitive across many roles, with clear hourly ranges and an hourly/pay‑per‑task mix designed to align rates with expertise. The structure emphasizes transparent, appropriate pay levels and guarantees payment for legitimate logged time.
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Strong & Reliable Incentives — Payments are processed on a predictable weekly cadence via Stripe/Wise, and some tracks offer additional weekly bonus incentives for top performers. This combination of regular payouts and performance bonuses supports dependable earnings when projects are active.
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Equity Value & Accessibility — Select full‑time roles include generous equity grants alongside cash perks such as relocation and housing bonuses. These elements increase total compensation for those positions.
Mercor Insights
What We Do
We use AI to understand human ability and match talent with the opportunities they're best suited for.









