Staff/Principal Product Manager, Patient Experience

Define the multi-year vision and roadmap for the patient experience across Wheel's white-labeled consumer surfaces, balancing partner-specific requirements with a coherent, scalable core product

Establish a point of view on where the patient experience should be standardized across partners versus configured per partner, and build the frameworks to support that decision-making

Translate enterprise partner requirements across market segments into a unified product strategy that serves patients well regardless of the front door they came through

Champion design as a strategic differentiator; work hand-in-hand with Design to set a bar for what a trustworthy, AI+human powered patient experience looks like at scale

Map the patient journey end to end, from first touchpoint through clinical encounter to follow-up, and identify where friction, drop-off, or trust gaps occur

Partner closely with Engineering, Clinical Operations, and partner-facing teams to design solutions that hold up across a distributed network of clinicians and multiple partner integrations

Define the product requirements, success metrics, and evaluation criteria for AI-driven capabilities within the patient experience (for example, intake, triage support, or personalization), including partnering on model and product tradeoffs and on iteration post-launch based on real usage data

Break down ambiguous, cross-functional problems into clear requirements and plans, and drive alignment with Engineering from concept through launch and iteration

Act as a primary product voice in conversations with Account Management and their enterprise partners about patient experience, translating patient experience strategy into terms that resonate with partner stakeholders

Communicate vision, tradeoffs, and progress clearly to executive leadership, engineering teams, and non-technical partner stakeholders alike

Mentor and influence other product managers on systems thinking and product craft in partnership with their managers

8+ years of product management experience, with a track record of owning consumer-facing products at a senior or lead level (Staff, Principal or equivalent scope). Leveling will be based on demonstrated scope of impact in the interview process

Direct experience building consumer products, ideally including B2B2C or white-label models where the end user and the paying customer are different

Demonstrated systems thinking: experience designing products that span multiple stakeholders, technical layers, or partner integrations

Real, hands-on experience delivering AI-powered products and features, not just using AI tools in your work. You can speak to the tradeoffs, evaluation methods, and iteration cycles involved in bringing an AI capability to production

Experience navigating the tension between enterprise partner requirements and end-user needs in a B2B2C model, particularly within healthcare or other highly regulated industries, and building product decision frameworks that satisfy compliance, brand, and clinical constraints while still serving the end consumer well

Outstanding written and verbal communicator who can move fluidly between consumer experience detail and executive-level strategy

A track record as a builder: comfortable in ambiguity, willing to get hands-on with design, data, or requirements detail when needed to keep Engineering moving fast

Mix of vision and execution: able to set a compelling multi-year direction and also drive the week-to-week product decisions that translate into shipped work

Strong product sense for consumer experience, balanced with the operational and technical judgment needed for a B2B2C model

Experience partnering with enterprise or channel partners on product decisions

Technical fluency across APIs, integration patterns (webhooks, headless architectures, MCP and other emerging protocols), and platform product design

Comfortable synthesizing input from clinical, engineering, data, and partner stakeholders into a clear product direction

Data-driven, with the judgment to know when qualitative signal matters more than a metric

High ownership and autonomy; thrives in a fast-moving, lean environment