AI Product Lead
$180,000–$230,000 year
HybridLawrence, New York, United States
Job Summary
Own the product strategy and delivery for AI-powered mid-market solutions, setting the roadmap and deciding what gets built from scoping through production go-live. Gather requirements directly from customer stakeholders and internal teams, then write specs and tickets that engineers can build against without follow-up. Run the backlog in our ticketing system, prioritize items, and manage scope, tradeoffs, and quality while translating technical constraints for executive audiences. Lead the product team of managers and specialists, mentoring them and keeping the group aligned on strategy. You will also define success metrics before launch, report against adoption and reliability, and plan for system failures when AI goes wrong. This role requires operating across customers, operations, and engineers daily, shipping under ambiguity with short timelines, and owning accountability for outcomes.
Required Qualifications
- 5+ years in product management, or a comparable role where you owned what shipped, such as technical program management, founder, or early employee wearing the product hat
- Experience leading a team, or clear readiness to step into a team leadership role
- A track record of owning a roadmap
- Experience running work through a ticketing system such as Linear or Jira as the person writing and prioritizing the tickets
- Comfort operating across customers, internal teams, and engineers in the same day, and adjusting how you communicate for each
- AI fluency. You do not need to write code. You need to know what these systems do well, where they fail, and how to scope around that
- Ability to sit with an operations team for two hours and come out knowing where the real bottleneck is
- Experience shipping under ambiguity, with short timelines and incomplete information
- Willingness to be the person accountable when something does not work
Desired Qualifications
- Healthcare domain expertise: clinical or operational workflows, EHR/EMR systems, and how healthcare organizations make decisions
- Familiarity with HIPAA, PHI, and regulatory constraints on automated decisions
- Experience with LLM-based or AI-native products
- Founder or early-startup experience
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