Forward Deployed AI Product Manager (FDPM)

What You'll Do:

You will live at the intersection of product strategy, technical delivery, and client partnership - spending meaningful time embedded with health systems customers to deeply understand their workflows, then translating those insights into AI-powered solutions that ship.

Client Engagement & Discovery

• Serve as the primary Product point of contact and trusted advisor for a portfolio of health system clients, including owning relationships across clinical informatics, IT, and operations stakeholders, often working alongside C-suite sponsors.
• Lead structured discovery engagements - interviews, workflow mapping, shadowing, and document analysis - to surface automation opportunities and unmet clinical or administrative needs.
• Define the "art of the possible" for each client, helping them connect their operational pain points to our AI platform capabilities.

Solution Design & Scoping

• Review the pre-sales Statement of Work drafted by the Solution Architect to confirm scope, feasibility, and design alignment before it is signed by the customer.
• Translate real-world workflows - scheduling, patient outreach, referral management, prior authorizations, billing follow-up - into structured product and configuration requirements, in collaboration with Forward Deployed Engineers (FDEs), Applied ML, and Solution Engineers.
• Own the quality, consistency, and completeness of the Autopilot design and specification documents that serve as the handoff to engineering.
• Define the business success metrics for the engagement ( time-to-value , call deflection, scheduling conversion, cost per contact) with the client.
• Enforce scope discipline during UAT - route requests outside the agreed design doc and SOW to the Sales/Account team so that they follow change order processes, rather than absorbing them into the current engagement.

Pilots, Deployment & Value Delivery

• Own 0→1 deployments end-to-end (from pilot kickoff through go-live): manage timelines, stakeholder communication, change management, and the iteration cycle to production-ready deployments.
• Generate test criteria from build artifacts and conduct manual validation (e.g., live call testing) before approving customer UAT.
• Drive customer UAT to completion as efficiently as possible, including on-site travel for strategic or marquee accounts to accelerate UAT and fine-tuning.
• Monitor deployed Autopilots post-launch by using observability tooling, evaluating performance, and driving resolution of issues that surface.
• Ensure clients and Customer Experience Managers (CXMs) can successfully measure business success metrics for the deployment before handing ongoing success measurement to the CXMs.
• Document ROI proof points and case-for-scale narratives at go-live and deployment milestones; hand off to CXMs to drive expansion and renewal.

Product Feedback & Roadmap Influence

• Surface reusable patterns and high-priority gaps from field deployments to the core product roadmap, partnering with FDEs, ML engineers, and product leadership to turn client-specific work into productized features.
• Contribute to internal knowledge bases, playbooks, and templates that systematize the FDAPM practice as we scale.

Required Qualifications

• 5+ years of experience in healthcare technology, with hands-on exposure to provider operations in one or more of the following domains: Patient Access (scheduling, referrals, prior auth), Care Management (outreach, care coordination, transitions of care), or Revenue Cycle (billing, collections, denial management, coding).
• Demonstrated experience in a client-facing delivery role - implementation, technical project management, solution consulting, or customer success - where you owned outcomes, not just activities.
• Ability to quickly understand and map complex clinical and administrative workflows, then distill them into structured requirements and prioritized problem statements.
• Strong written and verbal communication skills; able to present to VP/C-suite health system stakeholders and translate between clinical, operational, and technical audiences.
• Comfortable operating in ambiguity and whitespace; you default to action and bring structure to uncertainty.
• Experience with agentic workflows and a strong curiosity about AI and automation; you don't need to be an engineer, but you must be genuinely excited by what AI can do in healthcare and eager to develop deep product fluency in this space.
• Willingness to travel up to 25–35% to client sites for discovery, UAT, go-live support, and executive meetings.

Preferred Qualifications

• Experience at an EHR software vendor in a Project Manager, Implementation Consultant, Technical Services, or similar role.
• Prior experience in a startup or high-growth technology company in a PM, solutions engineering, or FDE-adjacent capacity.
• Familiarity with contact center technology (CCaaS, IVR, conversational AI , NLP ) or prior exposure to platforms such as Genesys, NICE, Five9, Nuance, or similar.
• Understanding of HL7 FHIR , APIs, EHR integrations, or healthcare interoperability standards.
• Experience building or contributing to product roadmaps, writing PRDs, or working in Agile/scrum delivery processes.
• Background or experience in healthcare administration, clinical informatics, health IT, nursing, or a related field.

How Success Is Measured:

This role is outcome-oriented. You will be evaluated on the impact you create — not just the activities you complete. Key success indicators include:

• Time-to-value : Speed from discovery kickoff to production-ready AI deployment for each client engagement.
• Pilot success rate: Percentage of pilots advancing to full-scale production rollout.
• Expansion & renewal: Customers you support renew and grow - driven by measurable, documented ROI.
• Product feedback quality: Volume and quality of field insights surfaced into the core product roadmap.
• Client health: NPS, engagement, and stakeholder relationship scores across your portfolio.