Program Manager, Human Data Operations (San Francisco)

• Translate ambiguity into execution: you can take a complex, evolving customer program and turn it into a clear project plan, a staffing model, and a risk-managed delivery path.
• Bring operational rigor and strong judgment, and can proactively identify risks before they impact delivery commitments.
• Have designed or managed annotation workflows, QA processes, or expert-driven data programs, and understand what it takes to make human-data operations trustworthy at scale.
• Understand modern AI evaluation, red teaming, and human-in-the-loop concepts, and how to operationalize them into repeatable, measurable workflows.
• Are comfortable with high-stakes, sensitive subject matter such as AI safety, red teaming, and trust & safety, and bring care for both customers and the teams doing the work.
• Communicate crisply across project plans, status updates, and escalation paths, and can align distributed teams around ownership and timelines without relying on authority.
• Are energized by being the connective tissue across Human Data, QA, Engineering, Product, Research, and Customer Success teams.
• Have delivered large-scale programs in complex operational environments, shown through what you have delivered rather than years on a résumé.

in AI safety, LLM evaluation, or trust & safety operations is a strong plus.

Own Project Execution, Contract Handoff to Final Delivery (Core)

• Be the single operational lead for the delivery pods you own, carrying each program from intake through staffing, execution, quality review, and customer sign-off.
• Build and coordinate project teams
• Establish project plans, staffing models, timelines, communication cadences, and risk mitigation plans.
• Monitor project performance, utilization, throughput, quality metrics, and budget performance.

• Manage customer expectations and delivery milestones throughout the engagement lifecycle.
• Lead internal project meetings, status reviews, and customer-facing reporting cadences.
• Identify expansion opportunities and surface operational improvements to leadership.

• Define what “good” means for the programs you own, and the quality controls and QA processes that measure it.
• Set annotation and human-data quality standards that are consistent, auditable, and humane for the people doing the work.
• Build scalable operational systems that improve project visibility, quality, or throughput across the Human Data team.

• Partner with pre-sales and customer-facing teams to translate customer requirements into executable delivery plans.
• Bring front-line delivery insights into capacity planning and operational improvement on purpose.
• Turn what you learn into systemic improvements rather than one-off workarounds.

• Keep Human Data, QA, Engineering, Product, Research, and Customer Success aligned on what is being delivered and why.
• Translate between operational, technical, and commercial perspectives so the right tradeoffs get made.

About the Team

You will work closely with:

• Human Data leadership and QA leads: to staff, coordinate, and deliver high-quality programs.
• Engineering, AI/ML, and Research: to resolve technical blockers and integrate tooling into workflows.
• Sales and Customer Success: to align what we deliver with customer needs, expectations, and expansion opportunities.
• We value operational excellence, systems thinking, and high standards for quality, clarity, and auditability.

• 5+ years of program management, project delivery, operations leadership, or related experience.
• Demonstrated experience managing large-scale human data, annotation, evaluation, trust & safety, research operations, or expert-driven workflows.
• Experience leading distributed teams of contractors, reviewers, annotators, experts, or QA personnel.
• Experience managing customer-facing programs with executive stakeholders.
• Experience operating in startup or high-growth environments.

• PMP, PgMP, CAPM, Agile, Scrum, Lean, or equivalent project management certification strongly preferred.
• Experience with AI safety, LLM evaluation, red teaming, human-in-the-loop systems, or trust & safety operations.
• Experience building scalable operational systems and quality management processes.

Apply Even If You Don’t Check Every Box

If you’re excited about bringing clinical judgment, training excellence, and quality systems into AI safety evaluation work—and want to help ensure emotionally grounded AI systems are safe and trustworthy—we’d love to hear from you.