AI Safety Program Lead — Human Data Operations

mpathic; Seattle (WA); On-site; USD 140,000 - 200,000; Full time

Job summary

mpathic is seeking a Program Manager, Human Data Operations to lead end-to-end delivery of AI safety, evaluation, and red-teaming programs. You will coordinate cross-functional pods, ensure quality, and manage customer outcomes in a fast-paced startup environment.

You’ll act as the connective tissue between Data Services, QA, Engineering, AI/ML, Product, Data Science, and customer-facing teams, delivering scalable, auditable workflows and reliable delivery paths.

Qualifications

• 5+ years of program management or operations leadership.
• Experience managing large-scale human data, annotation, evaluation, or trust & safety workflows.
• Experience leading distributed teams of contractors and QA personnel.
• Experience managing customer-facing programs with executive stakeholders.
• Experience operating in startup or high-growth environments.

Responsibilities

• Own project execution from intake to final delivery.
• Build and coordinate project teams and staffing.
• Establish project plans, timelines, communication cadences, and risk mitigation.
• Monitor project performance, utilization, throughput, quality metrics, and budget performance.
• Manage customer relationships and delivery milestones throughout the engagement lifecycle.
• Define what “good” means for programs and establish QA controls.
• Build scalable operational systems improving visibility, quality, or throughput across the team.
• Capture inputs from customers and delivery teams and translate them into executable plans.

Skills

Program management

Operations leadership

Stakeholder communication

Distributed teams management

Job description

mpathic is seeking a Program Manager, Human Data Operations to lead end-to-end delivery of AI safety, evaluation, and red-teaming programs. You will coordinate cross-functional pods, ensure quality, and manage customer outcomes in a fast-paced startup environment.

You’ll act as the connective tissue between Data Services, QA, Engineering, AI/ML, Product, Data Science, and customer-facing teams, delivering scalable, auditable workflows and reliable delivery paths.