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.

Mpathic

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