Top Remote Healthtech Product Manager Jobs in Austin, TX

Own the outward-facing product narrative for Sapio’s lab informatics platform, including positioning, messaging, demonstrations, and go-to-market strategy. Engage prospective customers, partners, executives, and industry audiences while translating ELN, LIMS, and CMC workflows into compelling value propositions. Partner with product, sales, marketing, and leadership teams on customer insights, RFPs, proof-of-concepts, conferences, webinars, and strategic account support. Bring deep life sciences software knowledge, strong product marketing instincts, and executive-level communication skills.

Own end-to-end client launches onto PHIL’s platform, including discovery, configuration, technical scoping, stakeholder communication, and go-live execution. Balance implementation work with product roadmap ownership, using data to improve adoption, engagement, retention, and client value. Translate manufacturer, provider, patient, and business needs into product requirements, collaborate with engineering and design, and drive program optimizations across B2B and B2C experiences.

Lead product strategy, roadmap and releases for medication history solutions. Own feature prioritization, user research, Aha! roadmap management, stakeholder engagement, compliance, go-to-market activities, and mentor junior product staff.

Own the end-to-end revenue cycle product roadmap, including eligibility, prior authorizations, claims-adjacent workflows, and EHR integrations. Translate clinic operations into product requirements, partner with Engineering on delivery and trade-offs, engage clinics and operations teams, define success metrics, and shape broader platform strategy. The role requires direct revenue cycle experience, strong communication, autonomy in a startup environment, and regular travel to NYC.

Leads the strategy, development, and delivery of healthcare analytics and business intelligence products. Partners with business stakeholders to define product direction, solve complex healthcare data problems, manage analytics portfolios, and align product strategies with organizational goals. Serves as the primary liaison for product-line stakeholders while guiding agile product development, data collection, reporting, and adoption of analytic tools.

Own discovery, prioritization, definition, and delivery of controlled-substance reporting and data products. Analyze complex datasets using SQL and Tableau, translate customer, regulatory, and business needs into product requirements, and guide roadmap tradeoffs. Partner with customers, engineering, analytics, and stakeholders on data governance, AI-enabled analytics, UAT, documentation, and customer adoption while becoming the subject matter expert in a highly regulated healthcare domain.

Lead 0->1 product development for an Employer vertical: define vision, ship initial products, and convert Turquoise's pricing and contract data into solutions for self-insured employers, brokers, and TPAs. Coordinate across Engineering, Design, GTM, and external stakeholders, validate with customers, and build long-term strategy while staying ahead of regulatory and market trends.

Lead product strategy and roadmap for employer onboarding, member enrollment, client implementation, and client success tools. Own enrollment operations, file ingestion, identity matching, MPI, and internal implementation workflows; improve data quality, build tooling for error resolution and account health visibility, manage two direct reports, and partner cross-functionally to deliver scalable outcomes.

As Product Manager, Engagement, you will lead the roadmap for patient engagement features, collaborating with design, engineering, and clinical teams to enhance the user experience and measure success through engagement KPIs.

Own backlog strategy and prioritization, lead sprint planning and delivery forecasting, write complex user stories, manage dependencies and risks, drive release planning and cross-team coordination, facilitate agile ceremonies, and partner with engineering to ensure high-quality delivery. Use delivery metrics and AI tools to improve processes and inform product decisions.