Engineering Manager, Applied AI

Reposted 12 Days Ago
Be an Early Applicant
2 Locations
In-Office
250K-400K Annually
Senior level
Artificial Intelligence • Software
We use AI to understand human ability and match talent with the opportunities they're best suited for.
The Role
The Engineering Manager will lead a team in Applied AI, focusing on building scalable systems, driving evaluations to improve model performance, and managing engineering talent.
Summary Generated by Built In
About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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 Role

We’re hiring Engineering Managers to lead teams within our Applied AI organization.

Applied AI builds systems that directly improve model quality, including evaluation infrastructure, annotation products, and emerging multimodal capabilities. You’ll lead a team of engineers, partner with product and research, and help define how Mercor stays at the frontier of AI.

You will also build partnerships with leading AI labs and directly contribute to improving the quality of frontier models through data, evaluation, and systems.

This role requires high ownership and abstraction: setting direction, driving outcomes, and staying hands-on while leading.

What You’ll Work OnBuild 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

Who Thrives Here

  • We’re looking for engineering leaders who take ownership in ambiguous environments, make pragmatic decisions, and consistently deliver measurable impact.

Success Metrics
  • Build high-performing, well-supported teams

  • Hire and retain strong engineers

  • Improve team velocity and execution quality

  • Contribute to systems that measurably improve model performance

Location
  • San Francisco (preferred) or New York

  • Relocation assistance will be provided as needed

Why This Role
  • Direct impact on frontier AI development

  • Build partnerships with leading AI labs and shape how frontier models improve

  • High ownership across team, systems, and hiring

  • Opportunity to shape a rapidly scaling organization

  • Work at the intersection of engineering, product, data, and AI

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

Skills Required

  • 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

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: San Francisco, California
2,217 Employees
Year Founded: 2023

What We Do

We use AI to understand human ability and match talent with the opportunities they're best suited for.

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