Product Manager- Client Experience

Vida Health

8d•$140,000 - $155,000•Remote

About The Position

At Vida, we help people get better- and we're helping the healthcare system get better, too. Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health. By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. It's trusted by Fortune 100 companies, major national payers and large providers to enable their employees to live their healthiest lives. Vida is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Vida is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where Vida is registered. Please note: Applicants must be authorized to work in the U.S. as Vida is unable to sponsor work visas for any position. All Vida Employees must reside in/be able to work from the U.S.- international work is prohibited. Job postings at Vida are evergreen and will remain open through end of year, until filled. Vida Health is seeking a Product Manager, Client Experience who writes SQL to debug a broken rule, reaches for Claude Code before they reach for a Confluence doc and finds genuine satisfaction in the fact that a clean configuration schema is what makes great member experiences possible. You will report to the Senior Group PM, Client Experience and partner daily with engineering, design, data science, client success and clinical teams. You will write opportunity docs, own discovery, define success metrics and ship iteratively across the platform's core domains: client implementation, eligibility setup, content configuration, billing rules and more.

Requirements

Bachelor's degree at a minimum.
3-5+ years of product management experience, with at least 1-2 years shipping internal tools, platforms or operations-facing products.
Demonstrated experience building with AI tools. This means not just using ChatGPT for writing but using AI to prototype, generate code or build working product artifacts (Cursor, Claude, Copilot, Replit, v0, or similar).
Comfortable with SQL, product analytics tools (Looker, PostHog, Amplitude, or similar) and defining success metrics for internal platforms.
Experience running the full product lifecycle: discovery, scoping, shipping, measuring, iterating.
Able to work effectively with engineering, design, operations and business stakeholders.
Comfortable operating in a fast-moving, ambiguous environment where you're defining the product surface, not just optimizing an existing one.
Clear, concise writing; you can turn complex operational workflows into actionable product specs.

Nice To Haves

Healthcare or digital health experience, especially in multi-client or B2B2C environments where client configuration complexity is high.
Experience building configuration platforms, admin tools, CMS systems or other internal tooling that enables non-technical users to self-serve.
Familiarity with no-code/low-code platform design patterns.
Experience with React or web application development workflows.
Background in operations, client onboarding or program management that gives you empathy for the internal users of the tools you'll build.

Responsibilities

Own the configuration platform backlog: prioritize what gets built, define it clearly, ship it and measure.
Translate operational input from client success, operations and clinical teams into clean, right-sized product work that doesn't slow down implementation or degrade member experience quality.
Deliver new features across the platform's vertical domains (program setup, eligibility, content configuration, clinical protocol settings, billing rules) based on operational urgency and technical dependencies.
Own quality, triage bugs, track reliability and hold the bar for internal users who depend on this platform every day to do their jobs.
Keep engineering moving: unblock delivery, make tradeoffs explicit and close the loop between what's scoped and what ships.
Use AI tools like Claude Code to prototype platform concepts, scaffold UI and put working software in front of internal users to validate ideas before engineering resources are committed.
Work with engineering to identify which components are good candidates for AI-assisted development.
Compress the concept-to-feedback cycle.
Define what good looks like for this platform: time-to-configure, error rates, support ticket volume and internal user adoption. Then build the dashboards and own the measurement.
Dig into internal user behavior- where are the workarounds, the drop-offs, the broken workflows and support requests?
Use data to make the case for what gets prioritized next.
Spend real time with ops and client success teams to understand the workflows you're replacing.
Coordinate with the member experience PM team so configuration changes don't create surprises on the member-facing side.
Partner with clinical teams on protocol configuration- safety and quality are non negotiable.
Make build-vs-configure decisions with engineering and push the architecture toward future vertical expansion.