Program Manager, Quality

Reposted One Month Ago
San Francisco, CA, USA
In-Office
120K-200K Annually
Mid 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 Program Manager oversees quality programs, develops automated solutions, manages a team of quality specialists, and ensures high-quality human data deliverables.
Summary Generated by Built In
About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.

 

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:

As a Program Manager for Quality Team, you will devise cross-functional quality processes through developing automated, technical solutions and managing an operational team of quality control specialists who evaluate our human data deliverables before they are sent to our customers. The ideal candidate is a scrappy, data-first, and results-driven leader with a track record of excellence.

Responsibilities:

  • Own quality programs for designated accounts or projects in various human data domains.

  • Own outcomes end to end for quality programs on projects: from initial brainstorming and operational execution to final, detailed delivery of audit results and quality insights.

  • Develop technical solutions to auto-evaluate quality of our datasets and proactively root-cause issues. Actively identify opportunities for automation and technical simplification — leveraging LLMs, databases, and scripting where applicable.

  • Devise systems to evaluate auditor and human data talent performance, ensuring adherence to quality standards and identifying process improvement opportunities.

  • Report on quality through regular monitoring and maintenance of quality performance metrics and KPIs.

  • Develop, update, and regularly present leadership-facing reports to inform company operations and strategy on human data deliveries. Work cross-functionally across engineering, account operations, and other stakeholders to execute on delivering SLAs for high-priority projects.

  • Help hire and maintain a 30+ auditor workforce for quality control; coach and develop specialists in the auditor pool to achieve high-impact outcomes that drive quality in our customer engagements

Ideal requirements:

  • 3+ years of experience owning high-impact technical and operational outcomes

  • A strong bias for being results-driven, and experience being entrepreneurial/scrappy: building systems from scratch, including technical and operational solutions, and working under pressure in high-urgency environments

  • Strong communication skills across leadership, strategic project leads, cross-functional stakeholders, and our auditor workforce

  • Ability to develop scalable solutions to difficult operational problems — which often require going close to the ground on projects in order to root-cause.

  • Robust project management experience, including the ability to manage a distributed team through ruthless prioritization and a high-urgency mindset.

  • A data-first approach to problem-solving, with demonstrated qualitative and quantitative analytical ability

Bonus:

  • STEM background

  • Experience with LLMs, databases, and scripting

  • Experience developing and growing a 30+ distributed workforce

  • Professional experience at a high-growth startup or fast-paced tech environment

Compensation
  • Base cash comp from $120K-$200k

  • Aggressive bi-annual performance bonus structure

  • Generous equity grant vested over 4 years

  • $15K relocation bonus (for moving to the Bay Area)

  • $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

  • 3+ years of experience owning high-impact technical and operational outcomes
  • Experience building systems from scratch
  • Strong communication skills across leadership and stakeholders
  • Robust project management experience
  • Data-first approach to problem-solving

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.

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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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