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# Staff Product Manager - Enterprise AI Platform

- **Company:** Abbott Laboratories
- **Location:** North Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $129,300.0 - $258,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Audit Trail, Data Infrastructure, Network Control, Software Product Management, Azure Machine Learning, Datadog, Feature Store, Multi-Agent Systems, Agentic-AI, AI Platforms, Machine Learning Operations, Api Management
- **Published:** October 18, 2026
- **Apply:** https://www.businessworkforce.com/job.asp?id=3456068052&tx=YT606CYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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., * 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.

## Description

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.