Program Manager, Quality

Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise.

We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows.

Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence.

Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London.

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