AI Safety & Human Data Operations Lead

Portland Seed Fund; Seattle (WA); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Mpathic is seeking a Program Manager, Human Data Operations on the West Coast to lead end-to-end execution of AI safety, evaluation, human data, and red-teaming programs. You’ll report to the Co-Founder/Chief Innovation Officer and coordinate cross-functional teams across Data Services, QA, Engineering, AI/ML, Product, and Customer Success.

This role requires operating in fast-paced startup environments, translating ambiguous needs into deliverable plans, staffing models, risk management, and

Qualifications

• 5+ years of program management, project delivery, operations leadership, or related experience.
• 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 operating in startup or high-growth environments.

Responsibilities

• Own end-to-end delivery planning, staffing, execution, quality management, and reporting for multiple concurrent engagements.
• Coordinate cross-functional project pods consisting of experts, annotators, reviewers, red teamers, QA personnel, researchers, engineers, and data scientists.
• Build scalable systems that improve project visibility, quality, throughput, or operational efficiency.
• Partner with executives and functional leaders to forecast capacity and support business growth.
• Contribute to customer expansion opportunities through exceptional delivery and stakeholder management.

Skills

Program management

Large-scale operations

Distributed teams

Customer relationships

Startup experience

Job description

Mpathic is seeking a Program Manager, Human Data Operations on the West Coast to lead end-to-end execution of AI safety, evaluation, human data, and red-teaming programs. You’ll report to the Co-Founder/Chief Innovation Officer and coordinate cross-functional teams across Data Services, QA, Engineering, AI/ML, Product, and Customer Success.

This role requires operating in fast-paced startup environments, translating ambiguous needs into deliverable plans, staffing models, risk management, and