Sr. Product Manager, AI Products

Accuity

2d•Remote

About The Position

The Sr. Product Manager, AI Products, will own a strategic product area focused on transforming Accuity’s clinical revenue cycle platform through AI-enabled automation, agentic workflow orchestration, decision support, and human-in-the-loop productivity tools. This role will define and deliver products that use AI agents, clinical intelligence, workflow automation, analytics, and operational feedback loops to improve documentation accuracy, coding quality, revenue integrity, throughput, and client performance. The Sr. Product Manager will partner closely with engineering, data science, clinical operations, compliance, client success, and commercial teams to move Accuity from technology-enabled services toward a scalable AI-first clinical revenue cycle platform. The ideal candidate has strong product judgment, healthcare workflow depth, and hands-on experience building or managing AI-enabled products. This person must be able to translate complex clinical, operational, and financial workflows into well-designed agentic systems that augment expert users, reduce manual work, improve consistency, and create measurable business value.

Requirements

Bachelor’s degree in business, healthcare administration, technology, analytics, product management, or a related field required.
Equivalent combination of education, training, and relevant experience may be considered.
5+ years of product management experience, including direct experience with AI-enabled, automation, workflow, analytics, platform, or enterprise SaaS products.
Experience defining product requirements for AI-enabled capabilities, including workflow integration, model outputs, feedback loops, monitoring, and success metrics.
Experience partnering with Engineering, Data Science, Design, Analytics, and domain expert teams to deliver complex product capabilities.
Experience with enterprise workflow products, preferably in healthcare, revenue cycle, clinical documentation, coding, CDI, denials, utilization management, revenue integrity, or adjacent domains.
Experience developing business cases, defining KPIs, and measuring product outcomes.
Strong product judgment with the ability to connect user needs, operational workflows, business outcomes, technical feasibility, and risk considerations.
Clear, executive-level communication skills with the ability to explain complex AI, clinical, operational, and financial concepts to varied audiences.
Strong analytical thinking, including the ability to assess workflow performance, define success metrics, evaluate tradeoffs, and use data to guide decisions.
Sound judgment in balancing innovation, responsible AI practices, compliance, user trust, implementation readiness, and speed of delivery.
Strong collaboration skills with the ability to align Product, Engineering, Data Science, Clinical Operations, Compliance, Client Success, Sales, and Implementation stakeholders.
Ability to lead through ambiguity, structure complex problems, and drive clarity across cross-functional teams.
Strong stakeholder management skills, including the ability to gather input, manage competing priorities, and influence without direct authority.
High accountability for outcomes, execution discipline, and follow-through in a fully remote work environment.
Adaptability and comfort operating in a fast-paced, growth-oriented, performance-driven organization with evolving priorities.
Strong organization and prioritization skills, with the ability to manage multiple discovery, delivery, measurement, and stakeholder workstreams.
Commitment to building trusted, explainable, user-centered AI-enabled products that support quality, productivity, compliance, and client value.
Employees must be able to communicate via phone, email, etc. and sit for extended periods of time, with or without reasonable accommodations.
Physical effort and exposure to physical risk are limited to that of an office role / environment.

Nice To Haves

Preferred experience with healthcare AI, clinical AI, RCM automation, AI copilots, agentic workflow systems, clinical NLP, document intelligence, or other AI-enabled healthcare technology.

Responsibilities

Own product strategy, roadmap, and measurable outcomes for AI-enabled and agentic workflow capabilities across a defined product area.
Identify high-value clinical revenue cycle workflows where AI agents, automation, decision support, or workflow orchestration can improve productivity, accuracy, quality, speed, margin, or client performance.
Prioritize roadmap investments based on business impact, user value, model readiness, data availability, implementation complexity, risk, compliance considerations, and scalability.
Translate clinical, operational, compliance, and client needs into clear product requirements for AI-assisted workflows.
Ensure roadmap decisions are grounded in client value, operational leverage, model performance, risk management, and business outcomes.
Define agentic workflow patterns, including task intake, prioritization, routing, recommendation, escalation, exception handling, audit trails, and human-in-the-loop review.
Define product requirements for AI agents, including user goals, data inputs, model outputs, confidence thresholds, guardrails, feedback mechanisms, monitoring requirements, and success metrics.
Translate manual expert workflows into scalable AI-assisted or agentic product experiences that augment expert users, reduce manual work, improve consistency, and create measurable business value.
Drive human-in-the-loop design to ensure expert users remain appropriately engaged in review, validation, escalation, and final decision-making.
Support product experiences that are usable, explainable, measurable, operationally safe, and trusted by users.
Partner closely with Engineering, Data Science, Design, Analytics, and Clinical Operations to develop and scale AI-enabled product capabilities.
Lead discovery with internal operators, clinical experts, client users, implementation teams, and commercial stakeholders to validate workflow opportunities and product priorities.
Lead cross-functional execution across Product, Engineering, Data Science, Operations, Clinical, Compliance, Client Success, Sales, and Implementation teams.
Make pragmatic tradeoffs between innovation, risk, usability, speed, implementation complexity, and business value.
Provide guidance to Product Managers and product team members on AI product practices, agentic workflow design, experimentation, measurement, and responsible deployment.
Define and monitor KPIs for AI and agentic workflow performance, including adoption, automation rate, override rate, exception rate, accuracy, productivity, quality, user trust, revenue impact, and margin improvement.
Build feedback loops that improve AI performance over time through user input, operational outcomes, quality assurance findings, and client-specific patterns.
Partner with Compliance, Security, Privacy, and Clinical leadership to ensure AI capabilities meet regulatory, audit, PHI, clinical safety, and client trust requirements.
Ensure product releases include clear measurement plans, feedback loops, monitoring processes, operational readiness, and appropriate controls.
Support automation and recommendation capabilities that improve throughput while maintaining or improving quality, compliance, and user confidence.
Partner with go-to-market teams on positioning, client education, demos, pricing input, implementation readiness, and AI value articulation.
Communicate AI capabilities, limitations, risks, tradeoffs, and business impact clearly to executive, technical, clinical, operational, and client-facing audiences.
Support internal and external stakeholders in understanding how AI-enabled workflows create measurable value for Accuity, clients, and users.
Collaborate with Client Success, Sales, and Implementation teams to ensure AI-enabled product capabilities are positioned and deployed effectively.
Perform other duties as assigned to support Product, operational, client, and business objectives.