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mpathic

Program Manager (MD), Human Data Operations

Posted 2 hours ago
5-10 years experience
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AI Summary

The Program Manager will lead the execution of complex AI safety, evaluation, and human data programs by coordinating cross-functional teams and managing end-to-end delivery. They will act as the connective tissue between technical, clinical, and operational teams to ensure high-quality, auditable, and scalable project outcomes.

About mpathic

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.

About the role

mpathic is seeking a Program Manager, Human Data Operations to lead the execution of complex AI safety, evaluation, human data, and red teaming programs. This role requires an MD with a Utah license or familiarity with Utah laws for practice and is designed for a physician who wants to apply their clinical expertise in an operational, AI-focused environment.

This position will begin as a part-time role, with the potential to transition to full-time as our programs, customer needs, and Human Data Operations function grow.

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 combines a medical background with strong program management and operational capabilities. You are comfortable managing complex services operations involving distributed teams of experts, annotators, reviewers, red teamers, contractors, and quality assurance personnel. You can bring clinical judgment and subject-matter expertise to programs while also managing timelines, people, quality, and customer expectations.

You will act as the connective tissue between Data Services, QA, Engineering, AI/ML, Product, Data Science, clinical and domain experts, 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 applying clinical judgment and 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 do

Own Project Execution, Contract Handoff to Final Delivery

  • 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, including clinical and other specialized subject-matter experts.
  • Establish project plans, staffing models, timelines, communication cadences, and risk mitigation plans.
  • Monitor project performance, utilization, throughput, quality metrics, and budget performance.
  • Apply clinical judgment where appropriate to support project design, expert guidance, quality review, and escalation decisions.

Manage Customer Relationships & Delivery Milestones

  • Manage customer expectations and delivery milestones throughout the engagement lifecycle.
  • Lead internal project meetings, status reviews, and customer-facing reporting cadences.
  • Serve as a credible clinical and operational partner on programs where medical expertise is relevant.
  • Identify expansion opportunities and surface operational improvements to leadership.

Build Quality & Operational Systems

  • Define what “good” means for the programs you own and establish the quality controls and QA processes that measure it.
  • Help ensure medically or clinically oriented programs reflect appropriate clinical judgment and domain expertise.
  • 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.

Capture Inputs from Customers & Delivery Teams

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

Be the Connective Tissue

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

What you’ll accomplish

In your first 60–90 days you’ll…

  • Build a deep understanding of mpathic’s human data, AI safety, red teaming, evaluation, annotation, QA, and reporting workflows, and develop 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.
  • Apply your medical and clinical expertise to help inform program execution, quality standards, expert workflows, and customer deliverables where appropriate.
  • 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 clinical and domain experts, annotators, reviewers, red teamers, QA personnel, researchers, engineers, and data scientists.
  • Use your clinical background to strengthen programs involving healthcare, mental health, AI safety, clinical reasoning, or other medically relevant domains.
  • 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.
  • As business and program needs evolve, have the opportunity to expand the scope and hours of the position, including the potential to transition into a full-time role.

You’ll thrive in the role if:

  • Hold an MD degree and are interested in applying your medical training and clinical judgment to AI safety, evaluation, and human data programs.
  • Translate ambiguity into execution: you can take a complex, evolving customer program and turn it into a clear project plan, staffing model, and risk-managed delivery path.
  • Bring operational rigor and strong judgment and can proactively identify risks before they impact delivery commitments.
  • Can move comfortably between clinical subject-matter expertise and operational leadership, understanding when clinical judgment should inform project design, quality standards, or escalation decisions.
  • Have designed or managed annotation workflows, QA processes, expert-driven data programs, clinical programs, research programs, or similarly complex operations.
  • Understand—or are excited to develop deep expertise in—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, healthcare, mental health, 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 complex programs in operational, clinical, research, healthcare, technology, or related environments. Experience in AI safety, LLM evaluation, healthcare technology, clinical AI, or trust & safety operations is a strong plus.

Role details

  • Education: MD required
  • Schedule: Part-time to start
  • Growth Potential: Opportunity to transition to full-time based on business needs, program growth, and mutual fit
  • Focus: Program management, AI safety and evaluation, human data operations, and clinical/domain expertise

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