Engineering Manager, Applied AI

What You’ll Work On

Build and scale teams

• Manage and grow a team of 6–10 engineers
• Coach and develop high-potential engineers
• Establish strong ownership, culture, and execution standards
• Shape the team: define hiring processes, establish engineering practices, and scale a high-performing team from the ground up

Drive Applied AI systems and outcomes

• Drive insights and methodology behind evaluation systems that benchmark and improve model performance
• Lead development while driving improvements in data quality, operational efficiency, system stability, and scalability
• Scale products that generate high-quality training data and improve human-in-the-loop workflows

Own technical direction

• Lead system design for complex AI systems
• Stay close to the technical work and guide engineers through ambiguous problems
• Translate high-level AI goals into clear engineering roadmaps and execution plans

Operate across a broad scope

• Partner with product, research, operations, and external AI labs
• Work across systems, data insights, and custom partnerships to drive model quality

Shape the organization

• Introduce lightweight processes as the organization scales
• Hire and develop strong engineering talent
• Help define engineering management at Mercor

What We’re Looking For

• 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