Director of Product Management & Revenue Cycle AI Products

VisiQuate, Inc.

4d•$175,000 - $215,000

About The Position

VisiQuate is hiring a Director of Product Management to own a portfolio of AI-native healthcare revenue cycle products as a business service line. The role is accountable for market success, client cash outcomes, and profitable growth—not just features and a backlog. The Director develops deep knowledge of the market, buyers, client problems, competitors, delivery costs, pricing, pilots, and go-to-market strategy. The role leads through influence across Engineering, Data Science, Customer Success, Sales, and Marketing; these teams do not report to the Director. Responsibilities span client and market research, competitive and EHR ecosystem analysis, service-line strategy and economics, product specifications and Agile delivery, AI quality and safety, pilot execution and client outcomes, go-to-market enablement, and regular business reviews with leadership. The Director runs the Product Development Lifecycle with AI integrated into each phase and human accountability at every gate. They use AI for discovery, research synthesis, specifications, prototyping, and analysis, and may build working demos and prototypes with tools such as Claude Code. New products progress from concept pitch through demos, a pilot client, go-live, and general availability. The role maintains the product home in Notion and roadmap in GitHub. In the first year, success includes presenting a strong view of the market, competitors, and EHR landscape; securing an approved strategy, business case, and roadmap linked to cash outcomes; launching and measuring at least one pilot with referenceable ROI; enabling Sales to demo and pitch products independently; tracking pricing and margin against client value and delivery costs; and running business reviews that inform leadership decisions.

Requirements

At least 7 years of hands-on healthcare revenue cycle experience as a subject matter expert, with depth in one or more of denials and appeals, patient access and financial clearance, payment integrity and underpayments, A/R follow-up, or payer contracts and policy.
At least 8 years of Product Management experience on complex SaaS or enterprise products, with clear ownership of business results.
Working knowledge of 837/835 data, CARC/RARC codes, and EHR workflows such as Epic and Oracle Health/Cerner.
Experience with AI/ML, automation, or agentic products, and direct use of AI prototyping tools.
Experience owning pricing, packaging, or a business case through to revenue.
Strong technical fluency to partner with engineers, data scientists, and architects.
Strong understanding of SaaS economics, including adoption, retention, expansion, and margin.
Comfort working with clients, Sales, and executives, and a mindset that combines speed with rigor.

Nice To Haves

For Senior Director candidates, experience leading Product Managers and multiple product lines.

Responsibilities

Own a portfolio of AI-native revenue cycle products as a business service line, accountable for market performance, client cash outcomes, and profitable growth.
Research market segments, buyers, budgets, buying cycles, client challenges, and regulatory and payer changes.
Spend time in client workflows; build a client advisory group and conduct interviews and site visits; represent client needs using evidence.
Track competitors’ products, pricing, wins, losses, and direction; assess EHR vendor offerings and recommend how VisiQuate competes or complements them.
Define sales approaches for clients using advanced EHRs, including integration paths, marketplace programs, and positioning alongside native tools.
Monitor payer, clearinghouse, and partner developments; recommend whether to build, buy, or partner; run win/loss reviews and apply findings to roadmap and positioning.
Own service-line vision, strategy, and roadmap from first release onward.
Build business cases measured in cash outcomes, including cash recovered, avoidable denials, touches per claim, cost to collect, and days to resolution.
Recommend pricing and packaging for approval by the EVP and Growth leadership; assess client value, market willingness to pay, and service-line economics.
Understand delivery cost drivers, including AI inference, transaction fees, data and infrastructure, implementation, and support; make product and pricing decisions that protect margin.
Make trade-offs among client value, differentiation, commercial impact, and cost, and communicate decisions clearly.
Write specifications, business rules, acceptance criteria, and non-functional requirements for engineers and AI development tools.
Maintain the Product Roadmap and link development tasks to roadmap features; build on the shared platform and canonical data model and reuse shared services.
Lead Agile delivery with engineering partners, including refinement, planning, demos, releases, and post-launch measurement.
Modernize existing capabilities into new products while protecting current client experience.
Set AI and agentic feature evaluation criteria for accuracy, task completion, reliability, latency, and cost.
Define permissions, escalation, and human oversight for AI agents acting on client systems; work with Security and Legal on PHI handling, auditability, and BAAs.
Own pilots end to end, including success criteria, data readiness, implementation plans, weekly check-ins, and go-live.
Prove ROI for each client in cash and turn successful pilots into references and case studies.
Own client outcomes through renewal and expansion with Customer Success, including adoption, escalations, and support playbooks.
Build demos for client-facing teams; train Sales on pitching, objections, and competitive positioning; join strategic deals as needed.
Partner with Marketing on positioning, messaging, launch plans, case studies, and thought leadership; represent the service line at client forums, industry events, and with analysts.
Run regular service-line business reviews covering pipeline, revenue, margin, adoption, client outcomes, and delivery health; report leadership asks, risks, and decisions needed.
Run the Product Development Lifecycle with AI integrated into each phase and a human accountable at every gate; use AI for discovery, research synthesis, specifications, prototyping, and analysis while meeting enterprise standards.
Build working demos and prototypes with AI tools such as Claude Code.
For new products, progress from concept pitch through demos, pilot, go-live, and general availability, while building the prospect pipeline in parallel.
Keep the service line’s product home current in Notion and its roadmap current in GitHub.