Staff Product Manager - Enterprise AI Platform

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: 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