Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
PerfectServe

Director of Product Management

PerfectServe

Director of Product Management driving AI product vision and strategy at PerfectServe. Leading product development initiatives for healthcare communication solutions with a focus on AI capabilities.

Posted 6/4/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

About the role

Key responsibilities & impact
  • Define and own the product strategy for PerfectServe’s AI answering service, including near-term delivery commitments and a longer-horizon vision for how AI evolves across the portfolio.
  • Translate business objectives and clinical workflows into a prioritized, clearly reasoned product roadmap — and maintain it as a living document that reflects new information, not a static plan.
  • Partner with the CTO and Director of Software Engineering to align roadmap sequencing with technical capacity, architecture constraints, and infrastructure investments.
  • Lead ongoing customer discovery efforts: conduct interviews, site visits (virtual or in-person), and workflow observation sessions with clinical and administrative end users.
  • Use modern AI tools to accelerate product work: generate prototypes and wireframes, run rapid concept tests, and explore technical feasibility before committing engineering resources.
  • Identify and manage product-level compliance and safety considerations including HIPAA, minimum necessary data principles, and the appropriate use of AI in clinical decision-adjacent contexts.
  • Own the relationship between product requirements and engineering delivery — writing precise, well-scoped specifications that reduce ambiguity without over-constraining implementation.
  • Define the measurement framework for AI product performance: establish baselines, set targets, and drive quarterly reviews of key metrics with engineering and executive leadership.

Requirements

What you’ll need
  • 8+ years of product management experience, with at least 3 years owning AI, NLP, or conversational AI products in production.
  • Demonstrated ability to lead customer discovery in complex B2B environments; experience interviewing clinical or operational end users is a strong differentiator.
  • Working knowledge of healthcare interoperability standards: HL7 v2, FHIR, and API integration patterns. Able to engage in technical interoperability discussions without an engineer in the room.
  • Familiarity with HIPAA and the product design considerations it requires: data minimization, audit trails, access controls, and PHI handling.
  • Technical fluency sufficient to evaluate AI capabilities critically, write clear functional specifications, and prototype concepts using no-code or AI-assisted tools.
  • Track record of shipping AI features at scale and iterating based on production data and user feedback.
  • Strong written communication; able to produce clear PRDs, executive summaries, and customer-facing feature descriptions.
  • Experience working with outsourced development partners, including delivery accountability and quality review.

Benefits

Comp & perks
  • Remote first work environment
  • Health, Dental, Vision, Life and Disability Insurance options available day one.
  • 401K - with match and immediately vested.
  • 17 company holidays, 2 floating holidays plus competitive paid time off policy
  • Internal Advancement Opportunities

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
product managementAINLPconversational AIhealthcare interoperability standardsHL7 v2FHIRAPI integrationno-code toolsAI-assisted tools
Soft Skills
customer discoverywritten communicationleadershipcollaborationproblem-solvingcritical evaluationspecification writingstakeholder engagementadaptabilitydata-driven decision making