Forward Deployed AI Product Manager
Talkdesk · Seattle, WA · 2 mo ago
RemoteRemoteMarketing$187k–$312k/yrFull-time
About This Role
We are hiring a Forward Deployed AI Product Manager (FDAPM) to be the connective tissue between our clients and our engineering teams. This is not a traditional PM role. You will live at the intersection of product strategy, technical delivery, and client partnership - spending meaningful time embedded with health system customers to deeply understand their workflows, then translating those insights into AI-powered solutions that ship.
What You'll Do
- Serve as the primary product point of contact for a portfolio of health system clients, operating as a trusted advisor embedded in their workflows and operations.
- 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.
- Own the relationship with clinical informatics, IT, and operations stakeholders at client sites, often working alongside C-suite sponsors.
- Solution Design & Scoping
- Translate real-world workflows - scheduling, patient outreach, referral management, prior authorizations, billing follow-up - into structured product and configuration requirements.
- Design bespoke AI workflow solutions in collaboration with Forward Deployed Engineers (FDEs), Applied ML, and Solution Engineers; own the scoping and definition of each engagement.
- Create and maintain living solution design documents, workflow maps, and specification artifacts that serve as the handoff to engineering.
- Serve as the voice of the customer in internal roadmap and sprint planning discussions.
- Pilots, Deployment & Value Delivery
- Drive 0→1 deployments from pilot kickoff through go-live, owning timelines, stakeholder communication, and change management planning.
- Define and track value metrics and outcome frameworks (time-to-value, call deflection rates, scheduling conversion, cost per contact) in partnership with clients and customer success.
- Run structured pilots, capture learnings, and manage the iteration cycle to production-ready deployments.
- Support expansion and renewal conversations by building ROI proof points and case-for-scale narratives.
- Product Feedback & Roadmap Influence
- Identify patterns across deployments and translate client-specific configurations into reusable product features that can benefit the broader customer base.
- Act as the bridge between field deployments and the core product roadmap, surfacing high-priority gaps, edge cases, and workflow requirements that should be productized.
- Contribute to internal knowledge bases, playbooks, and templates that systematize the FDAPM practice as we scale.
- Collaborate closely with FDEs, ML engineers, and product leadership on the "design partner → product" motion.
- 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.
- 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, go-live support, and executive meetings.
- Experience at Epic Systems in a Project Manager, Implementation Consultant, Technical Services, or similar role - ideally in modules such as Cadence, Resolute PB/HB, HIM/ROI, MyChart, or Epic Cheers.
- 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.