Program Manager, Quality

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.

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.

Nice-to-Haves

• 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.