Staff Product Manager - Enterprise AI Platform

Abbott

Illinois

Sur place

USD 180 000 - 240 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Career development
Health coverage next year (HIP PPO)
Retirement plan with high employercon
Tuition reimbursement

Résumé du poste

Abbott is seeking a Staff Product Manager for its Enterprise AI Platform in Illinois. You will own the platform roadmap, balance requests from diverse teams, and shape the paved-road tooling and governance so engineering teams can build, deploy, and operate AI/ML systems efficiently and safely.

This onsite role focuses on adoption, scalability, and operational excellence innerhalb Abbott's enterprise. You will partner with engineering leaders to sequence investments and measure platform

Qualifications

  • 8-10+ years of product management experience in platform or developer-facing products.
  • Hands-on PM experience for AI/ML platforms (feature stores, registries, orchestration, observability).
  • Strong technical depth to discuss model/agent registries, governance, and control-plane concepts.
  • Bachelor's degree or equivalent professional experience.

Responsabilités

  • Own the AI Platform roadmap including registry, orchestration, evaluation, observability, governance and cost controls.
  • Gather and prioritize platform requirements from all consuming teams across the enterprise.
  • Define and evolve self-service tooling, templates, and standards for AI/ML deployment and governance.
  • Maintain and prioritize the backlog as the voice of consuming teams in engineering planning.

Connaissances

Platform PM
AI/ML domain
Stakeholder management
Developer platform

Formation

Bachelor's degree

Description du poste

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You'll also have access to:



  • Career development with an international company where you can grow the career you dream of.

  • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.

  • An excellent retirement savings plan with a high employer contribution

  • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.

  • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.

  • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.



The Opportunity

As a Staff Product Manager - Enterprise AI Platform, you will be responsible for product ownership of the Enterprise AI Platform itself: the enterprise AI control plane and the paved road that enables teams across Abbott to build, deploy, and operate AI/ML and agentic systems safely and quickly. This role works closely with enterprise and division teams that consume the platform, including AI Product Managers, AI/Agentic Engineering teams, Applied Data Scientists, and division engineering and science teams, to translate their needs into a prioritized platform capability roadmap that drives adoption, scalability, governance, and operational excellence across the enterprise.



What You'll Do


  • Own the product roadmap for the AI Platform - the control plane and paved-road services (registry, orchestration, evaluation, observability, cost governance, guardrails) in partnership with the Platform Engineering Lead and Architect.

  • Gather and prioritize platform requirements from every consuming team across the enterprise, balancing competing requests against roadmap capacity.

  • Define and evolve the paved road - the self-service tooling, templates, and standards that let teams build, deploy, and operate AI/ML and agentic systems without reinventing governance, security, or observability each time.

  • Act as the platform's product owner: maintain the backlog, write and prioritize platform requirements, and represent the voice of consuming teams in engineering planning.

  • Define and track adoption, satisfaction, and time-to-onboard metrics across consumer teams and use them to steer the roadmap.

  • Partner with the Platform Engineering Lead and Platform/Solutions Architect to sequence platform investment against the Platform Roadmap published by Strategy & Portfolio.



Education and Experience You'll Bring


Required Qualifications


  • 8-10+ years of product management experience, including managing platform, infrastructure, or developer-facing products.

  • Real, hands-on experience as a product manager for a platform or infrastructure product consumed by other engineering teams (an internal developer platform, API platform, data platform, or MLOps platform).

  • Experience as a product manager for an AI/ML platform specifically (feature stores, model registries, agent-orchestration frameworks, evaluation/observability tooling).

  • Strong technical depth to credibly represent concepts such as model/agent registries, Model/MCP Gateway, orchestration, evaluation frameworks, and control-plane governance in engineering planning.

  • Bachelor's degree in a related field or equivalent professional experience.

  • Strong stakeholder-management skills across multiple internal consuming teams with competing priorities.



Preferred Qualifications


  • Experience as a product manager for an AI/ML platform specifically (feature stores, model registries, agent-orchestration frameworks, evaluation/observability tooling).

  • Experience building or scaling a "paved road" / internal developer platform practice.

  • Experience in a highly regulated enterprise where platform governance, auditability, and control-plane requirements are a first-order design constraint, not an afterthought.



Misc: This is an onsite role at Abbott location in IL. This is not a remote role/opportunity.



Abbott is an Equal Opportunity Employer, committed to employee diversity.

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