Engagement Manager, Code

The role

You will sell and deliver enterprise evaluations and post-training data for coding models and agents. You will act as the technical and commercial owner for accounts including AI labs and enterprise software organizations.

What you will do

• Own a portfolio of AI labs, coding tool companies, and enterprise engineering teams
• 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
• Scope and price enterprise evaluation and post-training data programs
• Lead technical demos and pilots
• Work with product, operations, and engineering to recruit software engineering experts and deliver on quality and timelines
• Forecast pipeline and revenue
• Bring customer feedback back to Mercor's product and research teams

Required qualifications

• 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
• Excellent written and verbal communication with both researchers and executives

Nice to have

• Familiarity with how LLMs are trained and evaluated (SFT, RLHF, coding benchmarks such as SWE-bench), or a strong drive to learn it quickly

Benefits

• Competitive salary w/ aggressive bi-annual performance bonus structure + meaningful equity
• $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)

About the company

Mercor builds infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. The company is profitable and recently raised a $750 million Series D at a $20 billion valuation.