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About the Role

Lead the end-to-end experience of Hinge Health’s member-facing hybrid care assistant, an LLM-powered conversational product designed to deliver high-quality MSK care. You will own the product strategy, safety, and performance of the assistant’s conversations, ensuring it effectively guides members and escalates to the Care Team when necessary. Your work will directly shape member experience, drive engagement and retention, reduce care team workload, and advance the company’s strategy for intelligent, scalable care delivery.

Responsibilities

• Establish clear baselines and evaluation frameworks for engagement, conversational success rates, and care team workload reduction.
• Ship meaningful improvements to the care assistant that measurably impact key KPIs, including new use cases, enhanced conversation flows, or safety/guardrail updates.
• Drive a measurable increase in member engagement by expanding the assistant’s ability to deliver timely, personalized, and high-quality guidance.
• Achieve reductions in Care Team workload by increasing the percentage of member needs handled safely and effectively through hybrid automation.
• Improve conversational performance through continuous iteration on prompts, workflows, escalation logic, and quality metrics.
• Partner with PMs and cross-functional teams to scale the assistant to additional product areas, increasing coverage of member needs and overall program impact.

Requirements

• 2+ years of experience as a Product Manager building and shipping AI-driven software products.
• Direct experience working with LLM-powered products, including model-driven features, conversational interfaces, or agent-like systems.
• Familiarity with prompt design, evaluation frameworks, and LLM performance measurement.
• Experience driving cross-functional initiatives with Engineering, Design, Data Science, and specialized partners (e.g., Legal, Compliance).
• Strong analytical skills with the ability to use data to define problems, evaluate tradeoffs, and guide decisions.
• Experience with AI safety, guardrails, or human-in-the-loop systems, especially in member- or customer-facing contexts.
• Background in healthcare, digital health, or regulated environments.
• Prior work collaborating with clinical teams or subject-matter experts.
• Experience building member-facing products at scale, particularly those driving engagement, retention, or behavior change.

Skills

• Product Management
• AI-driven software products
• LLM-powered products
• Conversational interfaces
• Prompt design
• LLM performance measurement
• Cross-functional collaboration
• Analytical skills
• AI safety
• Healthcare
• Digital health
• Member-facing products

Location

• San Francisco

Work Type

• Hybrid
• Onsite (3 days per week)

Experience Level

• 2+ years

Benefits

• Comprehensive medical, dental, and vision coverage
• Help with gender-affirming care
• Tools for family and fertility planning
• Travel reimbursements for healthcare
• Traditional or Roth 401k retirement plan options with a 2% company match
• Modern life stipends for learning and development
• Discounted company stock through ESPP
• Daily breakfast and lunch for onsite team members

About the Company

• Hinge Health uses technology to scale and automate healthcare delivery, focusing on musculoskeletal (MSK) conditions. Their AI-powered, human-centered care model improves outcomes, experiences, and costs. The platform addresses a broad spectrum of MSK care through personalized, evidence-based treatment. Hinge Health is a preferred partner to over 50 health plans and PBMs, available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore.

Equal Opportunity

• Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. They also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reasonable accommodations are provided for candidates with disabilities.