About this opportunity
Maigrate lists this AI Product Lead opportunity in town of lawrence, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Location: Hybrid (Lawrence, NY)
Reports to: CEO
Compensation: $180,000 to $230,000, plus health coverage and PTO
About Maigrate
Maigrate builds AI-powered products for mid-market companies. We build lasting software, not one-time deliverables. We're early-stage, growing fast, and assembling the team that will define what AI-native software looks like for this market. The people who join now won't just build the product, they'll help shape how we operate and what we become.
About the Role
We are hiring an AI Product Lead to own product strategy and delivery.
Every new customer and every new agent is a product launch. New workflows, new edge cases, new integration requirements, new constraints on how software must behave in a regulated environment. You will own that work from scoping through go-live and past it.
You will set the roadmap, decide what gets built and in what order, and stay accountable for whether it works in production. You sit between our customers, our operations team, and our engineers. Requirements come in from customer conversations and internal review. They leave your desk as written tickets an engineer can pick up and build.
What You'll Do
Own the product
Set and maintain the roadmap across all accounts, and defend the sequencing
Decide what is a one-off customer request and what becomes core product
Define success metrics before launch, including adoption, reliability, and cost, and report against them after
Own delivery
Run each new deployment from requirements through production go-live
Manage scope, tradeoffs, timelines, and quality
Make the call when scope and date conflict
Turn customer problems into shipped software
Gather requirements directly from customer stakeholders and the people doing the work
Write specs and tickets an engineer can build against without a follow-up meeting
Run the backlog in our ticketing system: write it, prioritize it, groom it, and keep it current
Translate technical constraints back into language a customer executive can act on
Plan for how the system behaves when the AI is wrong, and what the fallback is
Work with no playbook
Lead the first engagement in a new workflow or sub-vertical
Find the unknowns early and remove the risk before it hits a timeline
Lead the product team
Oversee the product team, with product managers and implementation specialists reporting to you
Mentor the team and keep it aligned on strategy
What We're Looking For
Must have
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
Preferred
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
Equal Opportunity
Maigrate is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.