Manager, Product Applied Science

New York City, New York Hybrid Senior 18.08.2026
Content Marketing Manager IT IT Security
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💰 ~$70.000–91.000/Jahr (geschätzt) 🕒 Vollzeit 🌍 Hybrid 🗺️ Worldwide
  • Leadership
  • Machine Learning
  • <div claß="content-intro"><h2><strong>What you’ll
Leadership Machine Learning

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Über das Unternehmen

Garnerhealth

Deine Aufgaben

  • We are seeking an exceptional Manager, Product Applied Science to build and lead a team at the core of Garner's product. Our members rely on us to answer hard questions - Which doctor should I see? What will it cost? When should we reach out, and how? - and the quality of those answers is determined by the algorithms behind them.

    This is a hands-on management role. You are responsible for the overall technical direction of your squad, building alongside your team of Applied Scientists to solve some of the hardest problems at the company.

    This is not a dashboards or descriptive-analytics team. Your team owns production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is leading a research pod at a top hedge fund.

    Where you will work:

    This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

    What you will do:

    • Lead a team of 4-6 - hire, coach, and develop them, hold the bar on both rigor and speed, and help raise that bar acroß Applied Science
    • Own the Population Health team and their outputs as a core responsibility 
    • Own your team's roadmap and delivery: what gets built, in what order, and whether it ships
    • Set technical direction, and get in the weeds to do it - stay close enough to the code and the data to call the approach yourself, whether that's machine learning, optimization, a heuristic, or a simple rule, and set the standard for how your team makes that call
    • Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
    • Put your own hands on the problems where your judgment matters most - the highest-stakes, least-defined work - and deliver the algorithmic step-changes that move metrics like total-cost-of-care savings, steerage, and member engagement
    • Turn ambiguous busineß goals into a clear problem set alongside Research, Product, Engineering, and busineß stakeholders, and represent your team's work to senior leadership
    • Set the quality b