Program Manager, Human Data Operations (AI Safety)

Location: Seattle, Washington, United States

Company

hirify.global builds infrastructure for trustworthy AI, supporting AI safety, evaluation, red teaming, benchmarking, and human-centered data operations.

What you will do

• Own delivery from contract handoff and intake through staffing, execution, quality review, reporting, and customer sign-off.
• Build and coordinate project pods of experts, annotators, reviewers, red teamers, QA personnel, researchers, engineers, and data scientists.
• Define project plans, staffing models, timelines, communication cadences, risk mitigation plans, and delivery milestones.
• Manage customer expectations, executive stakeholder communication, status reviews, and customer-facing reporting.
• Monitor utilization, throughput, quality metrics, budget performance, and operational risks.
• Build scalable systems and quality controls that improve project visibility, auditability, quality, throughput, and operational efficiency.

Requirements

• 5+ years of program management, project delivery, operations leadership, or related experience.
• Experience managing large-scale human data, annotation, evaluation, trust and 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.
• Strong judgment, operational rigor, risk management, and cross-functional communication skills.

Nice to have

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

Culture & Benefits

• Hands-on individual contributor role with the opportunity to shape program management as the team grows.
• Work across Human Data, QA, Engineering, Product, Research, Sales, and Customer Success.
• Emphasis on operational excellence, systems thinking, quality, clarity, and auditability.
• Work involves sensitive AI safety, red teaming, and trust and safety subject matter.