Sr. Product Manager, Enterprise AI

Hinge Health is hiring a Senior Product Manager to build AI-powered products that improve how our teams serve and operate at scale. You will lead the strategy and execution for enterprise AI capabilities across operational functions, including Client Success, Member Services, Revenue Operations. Your work will focus on turning complex, manual, and fragmented processes into reliable, measurable workflows while strengthening the data and platform foundations required to scale them. This role combines product strategy, workflow design, applied AI, data infrastructure, and cross-functional execution. You will partner closely with Engineering, Data, Design, and operational teams to identify high-value opportunities, launch solutions incrementally, and measure their impact.You will also help shape self-service and client-facing experiences that make it easier for users to engage with Hinge Health.

• Define and lead the product strategy and roadmap for enterprise AI, workflow automation, and supporting data capabilities across member, client, revenue, and business operations.

• Identify high-value operational problems and translate them into clear product requirements, experiments, and phased releases.

• Develop AI-powered workflows that reduce administrative burden, improve consistency, and enable operational teams to focus on higher-value member and client needs.

• Partner with operational teams to standardize processes, metrics, templates, and playbooks so they can be automated, measured, and continuously improved.

• Improve workflows across the member and client lifecycle, including member support, client onboarding, account management, revenue operations, reporting, issue resolution, and ongoing engagement.

• Work with Engineering, Data, and Design to build reliable integrations and intelligent workflows across systems such as CRM, customer success platforms, member support tools, communications, scheduling, billing, and analytics platforms.

• Define quality standards and evaluation frameworks for AI-powered features, including accuracy, reliability, human review, failure handling, and ongoing performance monitoring.

• Establish data contracts, instrumentation, governance, and operational standards that make products auditable, extensible, and resilient.

• Build appropriate privacy, security, and access controls into enterprise AI experiences involving sensitive member, client, and commercial data.

• Create a durable product operating cadence across discovery, prioritization, backlog management, stakeholder reviews, launches, and post-launch measurement.

• Define success metrics and use qualitative and quantitative evidence to evaluate adoption, time savings, service quality, member and client experience, revenue impact, and business outcomes.

• Identify reusable platforms, shared capabilities, and common workflow patterns across operational functions.

• Communicate product decisions, tradeoffs, progress, and risks clearly to technical teams, operational leaders, and senior stakeholders.

• Stay current on developments in enterprise AI, workflow automation, data platforms, and member and client experience technology.

• 2+ years of product management experience, including ownership of enterprise software, internal platforms, workflow automation, AI-enabled products, or products used by operational and customer-facing teams.

• Experience taking ambiguous operational problems from discovery through launch, adoption, and measurable impact.

• Demonstrated ability to convert manual, inconsistent, or high-friction processes into scalable product workflows.

• Experience building products for functions such as client success or sales operations, or customer service.

• Experience building products that integrate enterprise systems such as CRM, customer success, support, communications, scheduling, billing, analytics, or data platforms.

• Strong understanding of product instrumentation, observability, service-level expectations, governance, and operational reliability.

• Experience partnering with Engineering and Data teams on APIs, integrations, data pipelines, embedded analytics, or platform capabilities.

• Ability to connect product outcomes to improvements in productivity, service quality, member or client experience, retention, revenue, or operating efficiency.

• Strong cross-functional leadership skills and experience working with Engineering, Design, Data, and operational teams.

• Excellent written and verbal communication, including the ability to produce clear product requirements, decision documents, rollout plans, and executive updates.

• Sound product judgment, strong prioritization skills, and a bias toward iterative delivery and continuous learning.

• Experience building AI-powered enterprise products, including generative AI, intelligent assistants, recommendations, summarization, knowledge retrieval, or agentic workflows.

• Familiarity with AI evaluation, prompt and model iteration, human-in-the-loop workflows, guardrails, and production monitoring.

• Background in Member Services, Revenue Operations, Client Success operations, commercial systems, or enterprise data products

• Experience building products that support both internal operational users and external members, clients, buyers, or partners

• Experience building products in healthcare or another highly regulated industry.

We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day. The San Francisco office has a dog-friendly workplace program.

At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care.

As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is 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. Learn more at http://www.hingehealth.com

• Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.

• Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.

• Modern life stipends: Manage your own learning and development.

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.

By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.

Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to [email protected].