Staff Product Manager, Member Experience
New
Remote - USAFull-TimeStaff
Salary200,000 - 230,000 USD per year
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Job Details
- Experience
- Minimum of 8 years of product experience and a demonstrated track record of shipping complex, cross-functional programs. at least 4 years of experience building highly reliable and satisfying multi-channel consumer-facing platforms.
- Required Skills
- SQLArtificial IntelligenceA/B testingLLM
Requirements
- Minimum of 8 years of product experience and a demonstrated track record of shipping complex, cross-functional programs.
- At least 4 years of experience building highly reliable and satisfying multi-channel consumer-facing platforms.
- Recent, hands-on familiarity with AI/LLM-driven product experiences and engagement patterns; designing, shipping, or operating AI/ML-backed features that impact user engagement or workflows.
- Comfortable owning technical tradeoffs: you can talk about architecture and systems, but follow engineering design discussions, and make pragmatic decisions with engineers.
- Proficient with SQL and data analysis and have used experimentation (A/B testing) to make product decisions.
Responsibilities
- Articulate a clear and compelling vision and strategy for member experience and trust, align leadership and stakeholders to that plan, define and implement rigorous metrics to assess progress, and clearly articulate impact.
- Proactively identify and champion strategic initiatives that optimize member trust, activation, and retention while driving business value and operational efficiency. Make resource and investment decisions to maximize strategic impact.
- Serve as the team’s subject matter expert on member engagement: deeply understand member needs, member-provider touchpoints, vendor landscapes, and regulatory constraints that affect product decisions.
- Run a highly effective, outcome-driven team. Autonomously align teams around outcomes, remove or escalate blockers, launch, measure, and iterate until you drive impact. Communicate plans and progress clearly and know when to double-down vs. pivot.
- With engineering counterparts, facilitate technical and architecture conversations related to web/mobile stacks, messaging/SMS gateways, identity & authentication, and API-driven integrations with internal and external systems.
- Own instrumentation, experimentation, and measurement. Partner with analytics to design A/B tests, own funnel metrics, and use data to guide product tradeoffs.
- Drive vendor selection, vendor management, and phased migrations off legacy systems when necessary. Balance contract, technical, and operational tradeoffs.
- Build AI-forward member experiences. Partner with Engineering, Data, and AI teams to design safe, helpful, and measurable AI engagement patterns (e.g., LLM-driven concierge, personalized messaging, intelligent routing). Ensure AI features are explainable, auditable, and aligned with member trust goals.
- Mentor and influence peers across product and the broader org, sharing best practices and raising product craft.
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