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Lead Technology Product Manager, Clinical AI Workflows
128 900 - 226 050$
Описание вакансии
Текст:
TL;DR
Lead Technology Product Manager, Clinical AI Workflows (AI/Healthcare): Building AI-enabled clinical workflow experiences for pharmacists, nurses, patients, and other care professionals with an accent on workflow fit, transparency, responsible use, and measurable outcomes. Focus on discovering and delivering healthcare capabilities, validating products through customer research and pilots, and balancing trust, regulatory requirements, operational complexity, cost, and risk.
Location: USA - Waltham, MA; hybrid work arrangement with potential onsite interviews at a office
Compensation: $128,900.00–$226,050.00 USD per year, plus eligibility for a bonus.
Company
Health develops the UpToDate suite and AI-enabled tools that support clinical decisions and healthcare workflows.
What you will do
- Drive discovery and delivery for AI-enabled clinical workflow capabilities supporting adoption, efficiency, customer value, and measurable outcomes.
- Analyze clinical and care team workflows, including operational challenges, adoption barriers, integration needs, regulatory requirements, and human oversight.
- Shape transparent and responsible AI experiences that support clinical decision-making and workflow fit.
- Conduct customer conversations, experiments, and pilots; use feedback, analytics, and operational signals to validate opportunities.
- Define success metrics for adoption, workflow impact, satisfaction, efficiency, trust, business outcomes, and user value.
- Partner with engineering, clinical, UX, analytics, commercial, marketing, and customer-facing teams throughout the product lifecycle.
Requirements
- 5+ years of product management experience in healthcare, enterprise SaaS, workflow, or data-driven products.
- Strong product discovery and execution skills, including customer research, experimentation, roadmap development, and metrics-driven decision-making.
- Experience translating complex customer and workflow problems into product requirements, experiments, and measurable outcomes.
- Ability to collaborate with engineering, design, clinical, commercial, and customer-facing teams from discovery through delivery.
- Strong communication, analytical thinking, stakeholder management, and influencing skills.
- Ability to make sound product decisions in ambiguous, complex, and regulated healthcare environments.
Nice to have
- Experience leading AI-enabled or data-driven products from concept through launch.
- Understanding of generative AI, workflow automation, recommendation systems, retrieval-based systems, or applied machine learning.
- Experience with clinical workflows, patient education, healthcare content, or clinical decision-support products.
- Familiarity with human-in-the-loop workflows, responsible AI practices, or AI evaluation approaches.
Culture & Benefits
- Medical, dental, and vision plans.
- 401(k), FSA/HSA, and commuter benefits.
- Tuition assistance, vacation and sick time, and paid parental leave.
- Hybrid work environment with an interview process that includes onsite participation.
Hiring process
- Interviews assess individual skills, experience, and communication without AI tools or external prompts.
- Virtual backgrounds must be removed, and candidates may be required to attend interviews onsite at a office.