Product Manager

Harris Computer

6d•Remote

About The Position

Altera Digital Health’s TouchWorks Business Unit is seeking a high-impact Product Manager to drive product direction for capabilities on our ambulatory healthcare EHR platform. This role sits within Product Strategy and operates inside our AI-agent-directed development environment, partnering with Engineering, Architecture, UX, Regulatory, and Commercial teams to translate clinical and market needs into clearly framed problems, validated solutions, and on-time delivery. The successful candidate will bring strong Healthcare IT product experience with a proven ability to drive outcomes while operationalizing AI-first product development as a core discipline rather than a productivity add-on. This means setting product direction, governing the quality and correctness of AI-agent-generated artifacts, partnering deeply with engineering on technical and architectural decisions, and being directly accountable for the customer and clinical outcomes their product delivers. This Product Manager will partner closely with Architecture, Engineering, UX, Regulatory, QA, Client Services, Marketing, Sales, and executive leadership to align roadmap priorities, deliver customer value, and position TouchWorks for long-term growth. Detailed requirements, user stories, and acceptance criteria are authored downstream by Product Owners and Business Analysts; the Product Manager is responsible for setting product direction with enough technical and clinical specificity that those teams can execute without rework. The ideal candidate combines deep Healthcare IT domain expertise — particularly around FHIR, HL7, and EHR interoperability — with genuine enthusiasm for AI-first product development and strong commercial instincts around go-to-market positioning, pricing, and adoption. They are a product leader, not a project administrator: they set the agenda for their area, make and defend tradeoff decisions, and stay deeply embedded with the engineering team, clinicians, and customers their product serves. Reactive participation, ticket-shepherding, or orbiting the work from a distance are not what this role looks like. The right candidate drives product direction and outcomes, while also rolling up their sleeves to understand the technical, clinical, and customer realities of the work firsthand. If you are energized by transformation, comfortable operating in ambiguity, and motivated by building something new, this is the role for you.

Requirements

Bachelor's degree in Computer Science, Health Informatics, Biomedical Engineering, Business, or a related field required.
5+ years of progressive product or product-adjacent experience.
Demonstrated depth in AI-first product leadership.
Strong Healthcare IT experience preferred: EHR, EMR, interoperability, clinical workflows, revenue cycle, payer/provider platforms, or adjacent healthcare domains.
Direct experience with EHR, clinical, or health-tech products; understanding of clinician workflows and the U.S. healthcare ecosystem (payers, providers, regulators).
Proven experience shipping enterprise software in regulated environments, with familiarity with HIPAA, ONC certification, and regulated SDLC practices.
Experience writing crisp problem statements, product direction documents, and technical/functional specifications that downstream teams can execute against without ambiguity.
Demonstrated success driving measurable product outcomes — adoption, retention, time-to-value, clinical impact — with a track record of quantified results.
Experience working in small, cross-functional product teams alongside Engineering, UX, Regulatory, and Commercial partners.
Working knowledge of HL7 FHIR (resources, profiles, US Core, extensions, search, Bulk FHIR), SMART on FHIR, CDS Hooks, and traditional HL7 v2 / CCDA.
Able to read a FHIR profile and reason about interoperability tradeoffs.
Strong understanding of healthcare interoperability standards including HL7, FHIR, modern APIs, and healthcare data exchange models.
Experience with relational databases and modern data/API patterns (REST, OAuth2, JSON, FHIR APIs).
Demonstrated enthusiasm for and hands-on use of AI tools in product work — agent-based workflows, LLM-assisted discovery, prototyping, and documentation.
Comfortable iterating with AI agents and improving prompts and outputs over time.
Familiarity with the specific risks of AI-generated artifacts in regulated healthcare contexts, including HIPAA obligations around protected health information in AI workflows.
Comfort with quantitative product metrics, qualitative research synthesis, and clinical evidence.
Bias for action and outcomes.
Drives decisions to closure, takes positions, and defends them with evidence — does not wait to be tasked, and does not mistake activity or attendance for impact.
Operates as a product leader, not a project administrator.
Sets technical and strategic direction with engineering, makes prioritization calls, brings informed points of view, and influences without leaning on positional authority.
Embedded ownership.
Knows the assigned product, its users, its engineering team, and its stakeholders firsthand — the workflows, the technical details, the open issues, the customer reality — and builds durable working relationships with the people who matter to the product's success.
Strong product judgment — able to frame ambiguous problems, identify the highest-leverage solution, and articulate tradeoffs to executives, clinicians, and engineers alike.
Strong executive communication and stakeholder management skills, with the ability to represent product strategy credibly to engineering, commercial, and executive audiences.
Ability to lead through ambiguity, transformation, and organizational change — including the challenge of operating in a fundamentally AI-first product development environment.
Strong customer mindset with experience handling escalations and enterprise clients in a healthcare IT context.
Demonstrated problem-solving skills and high personal accountability for outcomes.

Nice To Haves

MBA, MS in Health Informatics, or equivalent advanced degree preferred.
Healthcare informatics or interoperability certifications preferred (HL7 FHIR Proficiency, AHIMA, CPHIMS, or equivalent).

Responsibilities

Drive product direction for assigned capabilities — frame the problem, target users, success metrics, key constraints, and the recommended solution approach — and partner with Product Owners on the detailed requirements that follow.
Set the agenda. Identify what matters, drive decisions to closure, and move work forward proactively.
Anticipate issues, surface them early, and propose direction.
Lead the product, not just administer it.
Make and defend prioritization and tradeoff decisions in partnership with Engineering, UX, and Clinical.
Bring informed points of view to the table rather than synthesizing the views of others; influence without leaning on positional authority.
Stay deeply engaged with the assigned product, its users, its engineering team, and its stakeholders.
Know the workflows, the technical details, the open defects, and the customer reality firsthand.
Build durable working relationships with engineering leads, architects, clinical advisors, and customer-facing teams — be embedded in the work, not orbiting it.
Own outcomes against time-to-market, time-to-value, adoption, and quality targets; transparently surface risks and tradeoffs to leadership.
Operationalize AI-first product development as a core discipline.
Partner with AI agents across the product development pipeline — analysis, drafting, architectural review, UX exploration, compliance — to accelerate discovery, drafting, and validation cycles.
Direct, review, refine, and approve agent-generated artifacts rather than producing them all by hand.
Treat AI agents as collaborators whose outputs require critical review and prompt improvement, not as oracles.
Identify where AI accelerates the team and where human judgment must dominate; actively shape prompts and agent guidance to raise the quality bar.
Contribute to the maturation of the team's AI-first product development practice — sharing patterns, prompt assets, and feedback that improve how the broader organization works with AI.
Provide product and technical direction for healthcare capabilities including clinical workflows, interoperability, APIs, and data exchange.
Define FHIR resource usage, interoperability requirements, and integration patterns for new features in collaboration with Architecture and Engineering — including profile selection, extension strategy, and conformance expectations.
Translate clinical workflows, regulatory drivers, and customer feedback into prioritized roadmap items aligned with new development and sustaining/regulatory work streams.
Monitor regulatory and standards developments (ONC, CMS, USCDI, FHIR US Core, TEFCA) and translate implications into roadmap actions in coordination with Regulatory.
Collaborate with UX through formal design review and with Engineering through architecture review to validate feasibility, usability, and compliance before commitment.
Engage directly with clinicians, CMIOs, health system IT leaders, and advisory boards to validate problems and pressure-test solutions; synthesize qualitative and quantitative signal into clear product decisions.
Partner with Commercial, Marketing, Sales, and Client Success on go-to-market: positioning, pricing inputs, packaging, launch readiness, enablement materials, and customer reference programs.
Bring a commercial instinct to product decisions — understand how scope, sequencing, and feature choices affect deal cycles, retention, and pricing, and partner naturally with revenue teams.
Track adoption, customer satisfaction, and post-launch outcomes; close the loop back into the roadmap based on what the market and customers tell you.
Improve product outcomes against the metrics that matter — time-to-market, time-to-value, adoption, retention, and quality — alongside AI-first measures including agent-output quality and review-cycle reduction.
Establish and maintain review standards for product direction, FHIR conformance, and clinical safety in collaboration with Architecture, UX, and Regulatory.
Support advisory boards, user groups, and SIGs as needed; train and mentor others on FHIR, healthcare interoperability, and AI-first product practices.