Staff Product Manager - Enterprise AI Platform (Onsite IL)

Thornton Tomasetti; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Abbott is seeking a Staff Product Manager for the Enterprise AI Platform to own the platform’s roadmap and be the voice of engineering teams in planning. You will partner with AI product managers, engineering teams, and data scientists to translate needs into prioritized platform capabilities.

You will define adoption metrics, governance, and cost controls across the enterprise to drive scalable AI/ML deploy­ment and safe operation. This onsite role is based in Abbott Park, IL.

Qualifications

• 8–10+ years of product management experience for platform, infrastructure, or developer-facing products.
• Hands-on PM for a platform or infrastructure product used by engineering teams (internal dev, API, data or MLOps).
• Product manager for an AI/ML platform (feature stores, model registries, agent-orchestration tooling).
• Strong technical depth to discuss model/agent registries, orchestration, governance in planning.
• Bachelor's degree or equivalent professional experience.

Responsibilities

• Own the AI Platform roadmap—the control plane and paved-road services with ownership of backlog and priorities.
• Gather and prioritize platform requirements across all consuming teams to balance roadmap capacity.
• Define and evolve the paved road: self-service tooling, templates, and standards for AI/ML deployments.
• Act as platform product owner; maintain backlog, write requirements, and represent consuming teams' voice.
• Define and track adoption, satisfaction, and time-to-onboard metrics to steer the roadmap.
• Collaborate with Platform Engineering Lead and Architect to sequence investments against the roadmap.

Skills

Platform PM

AI/ML platform expertise

Stakeholder management

Education

Bachelor's degree or equivalent

Job description

Abbott is seeking a Staff Product Manager for the Enterprise AI Platform to own the platform’s roadmap and be the voice of engineering teams in planning. You will partner with AI product managers, engineering teams, and data scientists to translate needs into prioritized platform capabilities.

You will define adoption metrics, governance, and cost controls across the enterprise to drive scalable AI/ML deploy­ment and safe operation. This onsite role is based in Abbott Park, IL.