Senior AI Health Product Manager — Remote

Australia-Employment

Chicago (IL)

On-site

USD 229,233,000 - 257,887,000

Full time

14 days+
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Benefits offered by this job

Full benefits
401(k) plan

Job summary

Jobot seeks a Senior Product Manager to lead the strategy for its primary mobile app and AI-driven coaching experience. You will guide a cross-functional team of engineers, designers, and data scientists to ship features that improve members’ health journeys.

You will shape the roadmap, apply hypothesis-driven methods, and ensure alignment with onboarding and clinical data initiatives in a distributed, remote-first environment.

Qualifications

  • Shipping consumer-facing mobile products with real user value.
  • Strong product instincts and craft-focused UX sensibility.
  • Experience launching AI-powered features in healthcare.
  • Comfort with analytics and experimentation platforms.
  • Familiarity with distributed, iterative product development.
  • Understanding behavior-change principles in regulated healthcare.

Responsibilities

  • Own roadmap and end-to-end development for core app features and AI coaching.
  • Apply hypothesis-driven, evidence-based approaches using research, context, and data.
  • Translate business goals and member insights into well-scoped initiatives.
  • Build and maintain rigorous experimentation with meaningful metrics.
  • Set OKRs and report progress to partners and leadership.
  • Collaborate with onboarding and clinical data teams for alignment on outcomes.

Skills

Product strategy
Cross-functional leadership
Analytics & experimentation
AI/healthcare product experience
User experience sensitivity
Behavior-change principles

Tools

A/B testing platforms

Job description

Jobot seeks a Senior Product Manager to lead the strategy for its primary mobile app and AI-driven coaching experience. You will guide a cross-functional team of engineers, designers, and data scientists to ship features that improve members’ health journeys.

You will shape the roadmap, apply hypothesis-driven methods, and ensure alignment with onboarding and clinical data initiatives in a distributed, remote-first environment.

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