Staff Product Manager, AI/ML
@ Headway

San Francisco, California, United States
On Site
Posted 13 days ago

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XXXXXXXXXX XXXXXXXXX XXXXXX******* @headway.com
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Job Details

Overview

Headway’s mission is to build a new mental health care system everyone can access. We provide a national network of over 60,000 mental healthcare providers using our software to help patients find great therapists who accept insurance. Founded in 2019, Headway is a Series D company with over $325m in funding.

About the Role

As a Staff Product Manager, AI/ML at Headway, you will build and scale AI-powered tools that streamline workflows and enhance both patient and provider experiences. You will leverage AI, data, and thoughtful UX design to create intuitive products with high ownership.

Key Responsibilities

  • Build and scale AI-powered tools to streamline workflows.
  • Drive patient-facing search, discovery, and ranking experiences.
  • Design intuitive, provider-facing product experiences for complex insurance programs.
  • Collaborate with Design, Engineering, Data, Ops, Clinical, and more to ship quickly.
  • Embed the voice of patients and providers in product development.

Candidate Requirements

  • 5+ years of experience in product management or related fields.
  • Experience with AI/ML pipelines, search systems, or personalized product features.
  • Strong balance of data analysis and human-centered design.
  • Ability to work in ambiguity and a fast-paced environment.

Compensation & Benefits

Base pay range: $215,900 - $254,000 along with variable compensation, equity grants, and a comprehensive benefits package that includes health coverage, a 401K, work-from-home stipend, flexible PTO, and more.

Key skills/competency

  • AI
  • ML
  • Product Management
  • UX Design
  • Data Analysis
  • Workflow Automation
  • Collaboration
  • Patient Experience
  • Provider Experience
  • Stakeholder Management

How to Get Hired at Headway

🎯 Tips for Getting Hired

  • Customize resume: Highlight AI, UX, and product experiences.
  • Showcase projects: Detail results with data-driven achievements.
  • Research Headway: Understand their mission and funding background.
  • Prepare for interviews: Emphasize cross-functional collaboration skills.

📝 Interview Preparation Advice

Technical Preparation

Review AI/ML concepts and case studies.
Practice product analytics and data interpretation.
Study user experience design in tech environments.
Familiarize with automation and AI pipelines.

Behavioral Questions

Describe handling ambiguous projects.
Explain cross-functional team collaboration.
Discuss prioritizing conflicting product tasks.
Share experiences with rapid decision-making.

Frequently Asked Questions