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Senior Technical Product Manager

QuantHealth·ישראל·en
היברידימשרה מלאהניהול מוצרHealthcare TechnologyEnterprise Software

Own the roadmap and delivery of platform capabilities for an enterprise clinical-trial simulation product, including APIs, SDKs, integrations, customer-cloud deployments, and security. Work with customers, partners, and engineering teams in a hybrid arrangement, with two office days per week and the

תחומי אחריות

  • Own the platform roadmap, backlog, and product requirements; prioritize work and explain decisions
  • Define the MCP offering, exposed capabilities, tool behavior, and user workflows
  • Define and prioritize public APIs and SDKs
  • Gather customer requirements and plan deployments in customer cloud environments
  • Own authentication, authorization, role-based access control, SCIM provisioning, data privacy, and CDISC USDM support
  • Translate customer, partner, and internal needs into product requirements and coordinate technical requirements and engineering work items
  • Work with customer IT, security, data, delivery, data science, and partner engineering teams; answer technical questions during sales, onboarding, and delivery
  • Coordinate daily delivery with engineering leads, track progress, remove blockers, and update stakeholders
  • Validate product outcomes through customer and internal feedback, then adjust plans
  • Use AI tools for prototyping, documentation, and workflow efficiency

דרישות

  • At least 3 years of experience as a Technical Product Manager or managing a technical product such as APIs, platforms, integrations, developer tools, or infrastructure
  • Comfort reading API documentation and discussing system design, cloud architecture, and security with engineers
  • Clear written and spoken English, with the ability to explain technical topics to non-technical audiences and business needs to engineers
  • Ability to connect technical work to product strategy and customer needs
  • Ability to drive projects independently from start to finish

יתרון

  • Experience in healthcare, clinical trials, or life sciences
  • Familiarity with LLM tools and MCP
  • Basic understanding of statistics

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