Program Manager, Human Data Operations; Seattle

Program Manager, Human Data Operations

mpathic is building the future of trustworthy AI. Grounded in behavioral science and human-centered design, we provide the infrastructure for building AI systems that are safe, aligned, and emotionally intelligent.

Building on our work in areas like RL gyms, red teaming, and benchmarking, we are creating the foundation for training, probing, and measuring advanced AI systems reliably, auditably, and at scale.

Position Overview

mpathic is seeking a Program Manager, Human Data Operations to lead the execution of complex AI safety, evaluation, human data, and red teaming for leading AI companies. You will report directly to the Co-Founder/Chief Innovation Officer. This role owns end-to-end delivery across cross-functional project teams and is accountable for project execution, quality, stakeholder communication, and customer outcomes.

The ideal candidate has significant experience managing large-scale services operations, including distributed teams of experts, annotators, reviewers, red teamers, contractors, and quality assurance personnel. They are comfortable operating in fast-paced startup environments where priorities evolve quickly and successful delivery requires proactive communication, operational rigor, and strong judgment.

You will act as the connective tissue between Data Services, QA, Engineering, AI/ML, Product, Data Science, and customer-facing teams—translating ambiguous customer and operational needs into dependable delivery, and keeping the many people involved aligned around what we are building and why.

This is a role about both execution and leadership. You should be as comfortable coordinating distributed expert workflows and managing customer expectations as you are building systems that improve project visibility, quality, and throughput. You will start as a hands-on individual contributor owning your delivery pod, with room to shape how program management scales here as the team grows.

What You'll Accomplish

• Build a deep understanding of mpathic's human data, AI safety, red teaming, evaluation, annotation, QA, and reporting workflows, and a clear picture of how work flows from contract handoff to final delivery.
• Shadow and then take ownership of one or more active client programs
  -driving timelines, deliverable tracking, staffing coordination, risk management, and stakeholder communication.
• Become proficient in the systems, tools, trackers, reporting mechanisms, and communication workflows used across projects.
• Establish trusted working relationships with leadership, execution teams, customers and stakeholders internally and externally
• Begin identifying operational bottlenecks, process gaps, and opportunities for improvement.

In your first year you'll…

• Own end-to-end delivery planning, staffing, execution, quality management, and reporting for multiple concurrent customer 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.
• Help define how program management scales at mpathic as the platform and team grow.

You'll Thrive in This Role If You…

• 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,…