AI Product Manager designing enterprise AI agents, RAG systems, and automated workflows. Helping Fortune 500 clients adopt Generative AI, cloud - native data platforms, and advanced analytics.
About the role
- Hands-on Product Manager overseeing AI & Data Science product strategy and execution at Healwell AI. Collaborating across teams to drive product development and commercial success.
Responsibilities
- Own product strategy and roadmap for one or more product lines (e.g., patient identification workflows, smart summary/narrative, smart search, evidence generation, data services).
- Build a roadmap that is:
- grounded in customer value,
- feasible with engineering capacity,
- actionable for Sales and Delivery.
- Define outcomes and success metrics (adoption, cycle time, quality, customer impact).
- Run structured discovery across:
- Sales pursuits (pre-sale requirements, objections, win/loss),
- Clinical Ops delivery learnings (what breaks at implementation),
- End-user feedback (clinicians, analysts, research teams).
- Convert insights into clear choices: what’s productized vs bespoke, what’s in/out of scope, and what we deprecate.
- Write and maintain **PRDs**, epics, acceptance criteria, and edge cases.
- Work directly with engineering/R&D to translate epics into implementable stories and ensure requirements are unambiguous.
- Drive a high bar for product artifacts (PRDs, specs, release notes, enablement docs) to reduce churn and rework.
- Partner on release planning and ensure delivery impact is understood early (dependencies, data readiness, operational workflow changes).
- Bring a strong intuition for **workflow + UI/UX**: help shape user journeys, reduce friction, and ensure product experiences are intuitive.
- Partner with design/engineering to validate concepts quickly (wireframes, prototypes, usability feedback) and iterate.
- Own product packaging and pricing strategy (with Sales/Finance input): value metrics, pricing fences, commercial guardrails.
- Maintain competitive intelligence and differentiation narratives.
- Ensure “deal-to-product” alignment: what we sell can be delivered and scaled.
- Partner with Marketing and Sales to craft:
- product messaging and positioning,
- launch plans,
- webinars/demos,
- customer-ready materials (decks, one-pagers, FAQs, talk tracks).
- Act as the “single throat to choke” for making sure launches are coordinated and the field is enabled.
- Drive prioritization across Sales, Clinical Ops, Engineering, Finance — make tradeoffs explicit.
- Establish a repeatable intake model for “big opportunities”:
- problem statement → business case → feasibility/sizing → resourcing tradeoffs → decision gates
- Keep stakeholders aligned across internal entities and the parent company when priorities intersect.
- Use AI tools to accelerate discovery synthesis, requirement drafting, competitive research, and enablement creation.
- Build lightweight systems/templates that compound throughput.
- A clear portfolio map and narrative: **what we sell, to whom, and why we win**.
- One prioritized roadmap with explicit tradeoffs tied to capacity.
- A repeatable opportunity intake/gating process (so we handle the next “patient registry-like” request cleanly).
- PRDs + epics for priority initiatives that engineering can execute with minimal ambiguity.
- A v1 packaging/pricing hypothesis for the top offerings with proof points and differentiation.
- At least one coordinated launch/enablement motion (e.g., webinar + collateral + talk tracks) executed end-to-end.
Requirements
- 7+ years product management (or equivalent end-to-end product ownership).
- Strong technical fluency: able to engage credibly with engineering/R&D and reason about data pipelines, integrations, constraints, and tradeoffs.
- Demonstrated ability to **write PRDs/epics** and drive execution through engineering delivery.
- Strong commercial acumen: packaging/pricing instincts and customer-facing confidence.
- Excellent written communication: crisp PRDs, decision memos, and field-ready enablement content.
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