Manage and grow a portfolio of legal tech companies, application-layer companies, and law firms, from first meeting through delivery and expansion
Locations (3)
San Francisco, California, United States
New York City, New York, United States
London, England, United Kingdom
Compensation
Competitive salary w/ aggressive bi-annual performance bonus structure + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)
Responsibilities
Manage and grow a portfolio of legal tech companies, application-layer companies, and law firms, from first meeting through delivery and expansion
Lead commercial processes for new and existing business, including scoping, pricing, and contracting
Work with customer, product, and research teams to design evaluations and post-training data for legal tasks such as contract review, legal research, drafting, and litigation support
Own 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
Locations (3)
San Francisco, California, United States
New York, New York, United States
London, England, United Kingdom
Compensation
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)
Responsibilities
Own 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
Translate legal practice into rubrics and task specifications that models can be trained and measured against
Help recruit and calibrate lawyer experts on Mercor's platform, and work with operations to track quality and timelines
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
Requirements
BS or MS in Computer Science or a related technical field
