Technical Product Owner (AI‑Native Product Lead)

Responsibilities

• Own the single-team product backlog.
• Ensure continuous backlog readiness to support fast, iterative delivery.
• Made day-to-day scope and sequencing decisions to minimize delivery friction and rework.
• Conduct interviews and requirements workshops with business and technical stakeholders to elicit and clarify business needs.
• Translate business needs into well-structured, testable requirements.
• Maintain clear, precise documentation that enables efficient and accurate implementation.
• Provide clear product intent by articulating the problem being solved, desired outcomes, and constraints.
• Supply grounding context for both engineers and AI-assisted development workflows, including domain assumptions, user behaviors, system invariants, and acceptance boundaries.
• Ensure intent and context remain current as requirements evolve, preventing misalignment.
• Act as the primary source of truth for what success looks like at the epic, feature, and story level.
• Perform high-fidelity validation of epics before decomposition into features.
• Ensure epics are sufficiently precise, well-scoped, and grounded to support AI-assisted implementation.
• Identify & resolve ambiguity, hidden assumptions, and incomplete intent early to reduce downstream rework.
• Validate that epics are actionable, testable, and aligned with architectural constraints prior to execution.
• Serve as a quality gate ensuring epics are ready for accelerated delivery within an AI-Native dev model.
• Continuous Delivery Validation & Outcome Alignment
• Continuously validate work against product intent, grounding context, and expected outcomes as implementation progresses.
• Provide in-flight clarification and refinement of requirements to maintain alignment as engineers and AI-assisted workflows iterate rapidly.
• Perform incremental acceptance of capabilities as they emerge, focusing on correctness, completeness, and behavioral alignment rather than ceremony milestones.
• Ensure delivered functionality is usable, extensible, and aligned with domain constraints, system boundaries, and quality expectations.
• Detect gaps between intended and actual outcomes early and drive corrective action before scale or automation amplifies defects.
• Communicate progress, scope tradeoffs, risks, and delivery outcomes to stakeholders.
• Act as the primary product point of contact for the AI-Native team, ensuring alignment between business intent and engineering execution.

Qualifications

• Bachelor’s degree in a related field or equivalent practical experience.
• 6+ years’ experience in product ownership, product management, or business analysis roles within Agile delivery environments.
• Strong experience translating business problems into clear, testable product and technical requirements.
• Excellent written and verbal communication skills.
• Proven analytical and problem-solving skills, with experience in systems modeling, workflow analysis, or solution design.
• Ability to learn complex domains quickly; healthcare experience preferred.
• Experience with systems modeling, user interface design, and prototyping, decision trees, data flow.