Forward Deployed AI Product Manager – HLS

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the main Product liaison and trusted advisor for a portfolio of health system clients, managing relationships across clinical informatics, IT, and operations stakeholders, frequently collaborating with C-suite sponsors.

• Lead organized discovery engagements - including interviews, workflow mapping, shadowing, and document analysis - to identify automation opportunities and address unmet clinical or administrative requirements.

• Illustrate the "art of the possible" for each client, assisting them in aligning their operational challenges with our AI platform capabilities.

• Review the pre-sales Statement of Work prepared by the Solution Architect to validate scope, feasibility, and design alignment prior to customer signature.

• Convert real-world workflows - such as scheduling, patient outreach, referral management, prior authorizations, and billing follow-up - into structured product and configuration requirements, collaborating with Forward Deployed Engineers (FDEs), Applied ML, and Solution Engineers.

• Ensure the quality, consistency, and completeness of the Autopilot design and specification documents, which serve as the transition to engineering.

• Establish the business success metrics for the engagement (time-to-value, call deflection, scheduling conversion, cost per contact) in partnership with the client.

• Maintain scope discipline during UAT - direct requests outside the approved design document and SOW to the Sales/Account team to ensure adherence to change order processes, instead of integrating them into the current engagement.

• Manage end-to-end 0→1 deployments (from pilot kickoff to go-live): oversee timelines, stakeholder communication, change management, and the iteration cycle for production-ready deployments.

• Create test criteria from build artifacts and perform manual validation (e.g., live call testing) before granting customer UAT approval.

• Facilitate customer UAT completion as efficiently as possible, including on-site travel for strategic or high-profile accounts to expedite UAT and fine-tuning.

• Monitor deployed Autopilots post-launch by utilizing observability tools, assessing performance, and resolving any emerging issues.

• Ensure clients and Customer Experience Managers (CXMs) can effectively measure business success metrics for the deployment before transferring ongoing success measurement to the CXMs.

• Document ROI proof points and case-for-scale narratives at go-live and deployment milestones; transition to CXMs to drive expansion and renewal efforts.

• Identify reusable patterns and critical gaps from field deployments to inform the core product roadmap, collaborating with FDEs, ML engineers, and product leadership to transform client-specific work into productized features.

• Contribute to internal knowledge bases, playbooks, and templates that formalize the FDAPM practice as we scale.

⛳️ Requirements

• Over 5 years of experience in healthcare technology, with practical exposure to provider operations in one or more of the following areas: Patient Access (scheduling, referrals, prior authorization), Care Management (outreach, care coordination, transitions of care), or Revenue Cycle (billing, collections, denial management, coding).

• Proven experience in a client-facing delivery role - implementation, technical project management, solution consulting, or customer success - where you owned outcomes rather than just activities.

• Capability to quickly comprehend and map intricate clinical and administrative workflows, then translate them into structured requirements and prioritized problem statements.

• Strong written and verbal communication skills; capable of presenting to VP/C-suite health system stakeholders and translating between clinical, operational, and technical audiences.

• Comfortable navigating ambiguity and uncertainty; you default to action and provide structure in uncertain situations.

• Experience with agentic workflows and a keen interest in AI and automation; while you don't need to be an engineer, you must be genuinely enthusiastic about AI's potential in healthcare and eager to gain deep product knowledge in this field.

• Willingness to travel 25–35% to client sites for discovery, UAT, go-live support, and executive meetings.

🏝️ Benefits

• Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).

• 401(k) plan

• Uncapped paid time off program for exempt employees

• Accrual-based program for non-exempt employees

• Talkdesk provides 14 paid holidays each year.

• Uncapped paid time off for exempt employees and accrual standards for non-exempt sick leave