Forward Deployed AI Product Manager

Talkdesk•Seattle, WA

7h•Onsite

About The Position

This role is for a Forward Deployed AI Product Manager (FDAPM) who will act as a liaison between clients and engineering teams. It is a non-traditional Product Manager role, combining product strategy, technical delivery, and client partnership. The FDAPM will spend significant time embedded with health system customers to understand their workflows, then translate these insights into AI-powered solutions. The position is described as part Product Manager, part Implementation Consultant, and part Pre/Post-Sales Engineer, ideal for individuals with experience in implementing enterprise software, particularly at Epic, who are interested in product and AI.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.