AbbottIllinois, United States+1 more
Abbott
United States - Illinois - Abbott Park, United States of America; United States > Chicago : Willis Tower Building 233 S Wacker Dr.
AI Infrastructure
Posted 3 hours ago
Verified open on Oct 16, 2026 · posted today
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:
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.
The base pay for this position is
$129,300.00 – $258,700.00In specific locations, the pay range may vary from the range posted.
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
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This role is classified as AI Infrastructure - see the AI Infrastructure hub for the rest of the market.
$215k - $286k is the middle 50% of disclosed salaries, measured from 213 live AI Infrastructure postings on this board. Roughly two thirds of postings disclose nothing, so this describes the ones that do, not the whole market.
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