Mercor
Engineering Manager, Applied AI
San Francisco. Posted 4 months ago
The role
Engineering Managers will lead teams within the Applied AI organization to build systems that improve model quality. You will manage engineers, partner with product and research, and build partnerships with leading AI labs.
What you will do
- Manage and grow a team of 6–10 engineers
- Coach and develop high-potential engineers
- Establish strong ownership, culture, and execution standards
- Define hiring processes and establish engineering practices
- Drive insights and methodology behind evaluation systems
- Lead development for data quality, operational efficiency, system stability, and scalability
- Scale products that generate high-quality training data and improve human-in-the-loop workflows
- Lead system design for complex AI systems
- Translate high-level AI goals into clear engineering roadmaps and execution plans
- Partner with product, research, operations, and external AI labs
Required qualifications
- Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics or Statistics
- 6–10 years in engineering
- 2–3+ years managing teams
- Strong background in building scalable systems
- Ability to lead in ambiguous environments with sound technical judgment
- Proven ability to coach engineers and drive execution
- Strong ownership mindset with pragmatic decision-making
Nice to have
- San Francisco (preferred)
Benefits
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k Relocation bonus
- $10K housing bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
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.