Product Manager (Embedded Analytics

ESO is hiring a Product Manager to guide its d2i hospital data product, its integration with the ESO Health Data Exchange (HDE), and Insights. The role combines product strategy and detailed backlog ownership across multiple teams, using customer and market feedback, cross-functional collaboration, and AI tools to guide priorities and product delivery.

Responsibilities:

• Define product vision, strategy, and roadmap for the d2i hospital data product itself, the integration with the ESO Health Data Exchange (HDE) and Insights, or both
• Own, prioritize, and maintain the product backlog for each assigned team or domain, ensuring every backlog reflects current business value and portfolio priorities
• Communicate the product vision by highlighting proposed features and their business value
• Use rapid prototyping tools such as Magic Patterns to turn concepts into functional prototypes, putting working examples in front of stakeholders and customers to test desirability and usability before engineering commits build time
• Use AI tools to draft user stories and acceptance criteria from source material such as customer requests, support tickets, and stakeholder notes, then review and refine each draft before it reaches a team
• Maintain a single, consistent definition of priority across all owned backlogs so teams are not working against conflicting signals
• Engage with a variety of stakeholders (Sales, Support, Customer Success, Onboarding, Executives) in an ongoing dialogue to understand and manage competing priorities and trade-offs
• Gather and refine product requirements from a variety of input streams, from direct customer input through support channels, to steering committees and time spent with agencies and departments in the field
• Cross-team collaboration: Collaborating with other product teams to manage dependencies and ensure a consistent user experience
• Use AI tools to triage incoming requests, bugs, and enhancement ideas across domains, and route or reprioritize based on business value and dependency
• Turn customer feedback, usage data, and market signals into clear, evidence-based requirements
• Own the intake and triage of customer feedback through Pendo to optimize Net Promoter Scores (NPS) and Product Engagement Scores (PES)
• Use AI tools to surface cross-team dependencies and sequencing conflicts before they affect a sprint
• Work as a product trio with product design and engineering to determine viability, feasibility, and desirability
• Participate in Scrum ceremonies (backlog refinement, sprint review, planning) across owned teams, adjusting cadence and depth of involvement to each team’s needs
• Partner with Technical Program Managers (TPMs), Engineering, and Product Managers on adjacent domains to keep priorities aligned at the portfolio level
• Manage releases as a collection of new and incremental features, architectural improvements, and allocations for technical debt
• Generate first-draft sprint summaries, release notes, and stakeholder updates using AI tools, then edit for accuracy and tone before sharing
• Review all AI-drafted stories, requirements, and communications for accuracy before they are finalized. AI output is a draft, not a deliverable
• Keep customer and business context, not AI output, as the final authority on prioritization decisions, and flag gaps or errors in tooling to product leadership
• Work with system architects to understand architectural work, to assist with decision-making and sequencing of the key technological infrastructures that support your products
• Create enablement documentation and playbooks to empower internal teams
• Escalate trade-offs that cannot be resolved at the team level to product leadership with a clear recommendation
• Contribute to retrospectives and evaluate returns on investment
• Plan and execute the adoption of ESO development methodology (program increments [PIs] and sprints, product requirements documents [PRDs] and business requirements documents [BRDs], release notes, product enablement) and tools (Jira, Confluence, Teams) in close collaboration with Engineering leadership

Requirements:

• Five or more years of experience in product management, product ownership, or a similar backlog-ownership role, including experience across more than one team or domain
• Experience in healthcare, EMS, or hospital data
• Experience in product management at a fast-growing software company
• Proficient and experienced using AI to optimize your day-to-day job, as well as building AI-first product solutions
• Hands-on experience using AI tools (for example, Claude, Magic Patterns, or similar platforms) for drafting requirements, building functional prototypes, synthesizing feedback, or generating status communications
• Working knowledge of Agile and Scrum practices, including backlog refinement, story writing, and sprint ceremonies
• Experience with healthcare data, de-identification and PHI handling, and data pipelines
• Significant experience defining and launching features that meet the needs of both the customers and the business
• Demonstrated strategic planning and operational execution skills, including process improvement
• Snowflake, Sisense, or Sigma familiarity is a plus