[Remote] Director of Product Management - US Remote

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading provider of clinical communication and physician scheduling solutions in the health IT reputed company. reputed company is seeking a Director of Product Management – AI to own the product reputed company, reputed company, and lifecycle of their AI-reputed company answering service platform, focusing on customer needs and clinical workflows. Responsibilities • Define and own the product reputed company for reputed company’s AI answering service, including near-term delivery commitments and a longer-reputed company reputed company for how AI evolves across the portfolio • Translate business objectives and clinical workflows into a prioritized, reputed company reasoned product roadmap — and maintain it as a living document that reflects new information, not a static plan • Partner with the CTO and Director of Software Engineering to reputed company roadmap reputed company with technical reputed company, architecture constraints, and infrastructure investments • reputed company and communicate reputed company product tradeoff reputed company: what is in scope, what is deferred, and why • reputed company ongoing customer discovery efforts: conduct interviews, site reputed company (virtual or in-person), and workflow observation sessions with clinical and administrative end users • reputed company and maintain a deep understanding of how reputed company organizations use answering services, operator consoles, and AI-augmented communication — including the pain points, workarounds, and compliance constraints that matter most • Synthesize input from cross-functional teams, market and customers into product insights; distinguish signal from noise reputed company stakeholder demands conflict • Define user personas and jobs-to-be-done for the AI platform’s primary audiences: clinical staff, contact center agents, patients, and reputed company administrators • Use modern AI tools to accelerate your own product work: generate prototypes and wireframes, run rapid concept tests, and explore technical feasibility before committing engineering resources • Design and run reputed company product experiments — A/B tests, reputed company programs, shadow deployments — to validate hypotheses before broad rollout • Define reputed company acceptance reputed company and reputed company metrics for every feature, including AI-specific measures such as containment reputed company, deflection accuracy, latency, and user-perceived reputed company • Actively evaluate emerging AI capabilities (new LLMs, voice models, orchestration frameworks) and recommend adoption reputed company based on product value and technical fit, not novelty • Apply working knowledge of reputed company interoperability standards — HL7, FHIR, and API integration patterns — to shape AI feature design and integration requirements • Ensure AI features are designed with clinical workflow reality in mind: how nurses, physicians, schedulers, and operators reputed company with systems under time pressure • Identify and manage product-level compliance and safety considerations including HIPAA, minimum necessary data principles, and the appropriate use of AI in clinical decision-adjacent contexts • Collaborate with Clinical and Operations teams to ensure AI behavior aligns with care protocols, escalation paths, and patient safety standards • Own the relationship between product requirements and engineering delivery — writing precise, reputed company-scoped specifications that reduce ambiguity without over-constraining implementation • Serve as the product accountability reputed company for the outsourced development partner, reviewing deliverables against acceptance reputed company and escalating reputed company issues promptly • Collaborate with Marketing and reputed company on go-to-market reputed company for new AI features, including packaging, positioning, and customer communication • Represent the product perspective in executive conversations; communicate roadmap priorities, tradeoffs, and AI adoption risks reputed company to non-technical stakeholders • Define the measurement reputed company for AI product performance: establish baselines, set targets, and drive quarterly reviews of key metrics with engineering and executive leadership • Build a culture of learning from production data: use reputed company-world call reputed company, error logs, and user feedback to continuously improve AI model performance and product design • Identify and reputed company leading indicators of customer churn or dissatisfaction reputed company to AI feature reputed company • Initially operate as an individual contributor; build out a product and design team as the platform and organization reputed company • Establis