Product Manager, AI Analytics & Workflows

Our Story

Position Overview

We’re looking for a Product Manager who thrives in fast-moving, ambiguous environments and wants to have a meaningful impact on shaping AI-powered products that are measurable, trustworthy, and operationally useful. Your mission is to translate customer workflows, data realities, and model-driven outputs into clear product requirements and support high-quality delivery, adoption, and measurable impact across releases.

You’ll partner closely with Engineering, Data Science, Research, and Clinical teams to define requirements for AI-driven workflows, analytics, and reporting experiences, and product-led onboarding. You will also support release coordination and ensure user-facing documentation reflects the current state of the platform.

This role reports to the VP of Product and Engineering and offers ownership, high cross-functional visibility, and the opportunity to shape how AI is responsibly deployed in clinical and research settings.

What You’ll Accomplish

In the first six months you will:

• Build a strong working understanding of mpathic’s core platform 
• Write high-quality PRDs and ship roadmap items by translating customer needs into clear requirements, acceptance criteria, and well-scoped Jira tickets
• Define analytics requirements that help customers measure success and navigate insights 
• Partner with Engineering and Data Science to support execution and clarify tradeoffs related to model behavior, edge cases, and product usability
• Improve product-led onboarding by refining in-app guidance, documentation, and workflow education to reduce time-to-value and support adoption
• Support release readiness by coordinating launch communication, release notes, and internal enablement
  
  

In your first year you’ll…

• Become a trusted owner of high-impact product workstreams across AI-driven workflows, analytics requirements, and onboarding experiences
• Support improvements to how we measure and communicate product quality, especially where data quality and model performance impact customer trust.
• Strengthen the platform’s ability to deliver actionable insights through improved traceability, usability, and customer-facing reporting
• Contribute to a team culture that values clarity, strong execution, and building systems that scale across customers and use cases
  
  

You’ll Thrive in This Role If You…

• Have 3–5 years of experience in Product Management (or a closely related role) and are comfortable owning execution in ambiguous, high-context environments
• Are strong at writing PRDs and translating real customer workflows into specific, testable product requirements
• Enjoy working with AI/ML and data science teams and can partner effectively 
• Are confident defining analytics requirements, including dashboards, metrics,  and insight traceability
• Think naturally in terms of measurement and iteration using adoption and workflow metrics to validate impact and prioritize improvements
• Are comfortable working with data  and using it to inform product decisions
• Communicate clearly and thoughtfully across technical and non-technical stakeholders, especially when tradeoffs or edge cases matter
• Care deeply about building product experiences that are explainable, reliable, and easy for customers to act on
  
  

About the Team

You’ll work with:

• Engineering, to scope and ship roadmap priorities, clarify requirements, and coordinate releases
• Data Science and ML partners, to align product requirements with model behavior, evaluation constraints, and data realities
• Clinical and Research stakeholders, to ensure workflows and outputs remain grounded, interpretable, and aligned with customer needs
• Customer Support, to identify friction, reduce time-to-value, and improve product-led onboarding and documentation
  
  

You’ll report to the VP of Product and Engineering, who provides strategic direction and partnership while trusting you to operate independently day to day.

We’re a mission-driven, collaborative, and pragmatic team that values thoughtful execution, clear communication, and building systems that help people do their best work.

Our Hiring Process

• Step 1: 20-minute recruiter screen
• Step 2: 45-minute hiring manager interview
• Step 3: Short exercise or working session (PRD/analytics requirement draft)
• Step 4: Cross-functional interview (Engineering / Data Science / Clinical)
• Step 5: Offer! 🎉

Apply Even If You Don’t Check Every Box

We know great candidates might not fit every bullet on a job description. If this role speaks to you and you’re excited to help shape the future of AI-powered safety, we’d love to hear from you.