Senior Product Manager
SonderMindDenver, CO$160k – $190kPosted 10 April 2026
Job Description
Senior Product Manager
ABOUT SONDERMIND
At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram https://www.instagram.com/sondermind/?hl=en, Linkedin https://www.linkedin.com/company/sondermind/, and Twitter https://twitter.com/SonderMind?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor.
Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company.
ABOUT THE ROLE
We’re seeking a curious, entrepreneurial, data-driven Senior Product Manager to own and optimize our Customer Support/Billing and Revenue Cycle Management (RCM) experiences. In this role, you will define and drive the roadmap to build internal products and tools that heavily leverage AI agents to automate operations and business processes.
Reporting to the Chief Technology Officer, you will partner closely with the Support Organization, Engineering, and Data teams to deliver transformative, AI-driven solutions that reduce manual overhead and provide a seamless experience for clients and providers.
WHAT YOU’LL DO
- AI-Driven Automation: Lead the discovery and execution of internal tools and products that utilize AI agents to automate complex health insurance RCM and Support workflows.
- Support & Operations Partnership: Work closely with the Support and Revenue Operations organization to identify operational bottlenecks and build product solutions Voice of the User: Conduct high-impact research to capture how internal teams and external users interact with RCM processes, ensuring product solutions meet real-world needs, with a specific focus on enhancement and integration of AI technologies.
- Roadmap & Prioritization: Craft a clear roadmap for features that deliver against the product vision while driving measurable business impact across customer care and RCM.
- Cross-Functional Leadership: Collaborate with Finance, Customer Success, and Engineering to provide visibility into the development process and ship high-quality, consistent experiences.
WHAT DOES SUCCESS LOOK LIKE?
- Workflow Transformation: Achieve over 80% automation in customer care and RCM processes by replacing manual steps with AI-agent-driven internal tools.
- Deep Domain Expertise: Deepen understanding of health insurance RCM processes, including billing, posting, and accounts receivables, to define and drive the best solutions for our customers.
- Strategic Execution: Translate domain knowledge into a compelling strategy that integrates AI innovation with core Support and RevOps needs.
- Delivery & Agility: Consistently launch high-priority AI features within set timelines, ensuring iterative development and successful outcomes.
WHO YOU ARE
- 7+ years of product management experience within fast-growing teams.
- 5+ years of deep experience with Health Insurance Revenue Cycle Management (RCM) processes, including billing, posting, and accounts receivables.
- Proven experience or deep understanding of building products that leverage AI ... (truncated, view full listing at source)
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