Staff Product Manager - Enterprise AI/Agentic Solutions

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.

A production solution-oriented product management role, not research or exploratory one. AI Product Manager partners with Abbott business divisions and function to turn business value drivers, targets, and prioritized use cases into a living roadmap of the product's capabilities — what it can support today and what it needs to support next — so the business's highest-strategic-value use cases have a clear, resourced path to production. This is a delivery-accountable role. the AI Product Manager owns outcomes after launch, not just intake.

·         Partner with the business divisions and function leaders and AI liaisons to capture value drivers, targets, and prioritized use cases, and translate them into product requirements.

·         Own and maintain a rolling roadmap of the product's capabilities, mapped explicitly to the high-strategic-value use cases each capability is meant to support and enable.

·         Prioritize and sequence capability investment by the strategic value and enablement impact of the use cases it unlocks.

·         Scope technical feasibility jointly with AI/Agentic Engineering and Applied Data Science leads before committing capability to the roadmap.

·         Own the outcome of shipped use cases post-launch, sharing accountability with the division's business liaison for hitting the value target.

·         Represent the business's needs in cross-functional roadmap sequencing.

·         Mentor and technically develop junior team members.

• 5–8 years of product management experience, in shipping production AI and ML products.
• Strong hands-on experience as a product manager who has owned and shipped AI-powered products in an enterprise setting. Direct accountability for an AI product's roadmap and outcomes is required.
• Proficiency with agentic AI or LLM-based product patterns.
• Strong technical fluency to scope feasibility directly with engineering leads.
• Bachelor's degree in a related field or equivalent professional experience.
• Strong stakeholder-management skills; comfortable owning outcomes shared with a business-side partner.

• Experience as a product manager for AI/ML products at a highly regulated technology or technology-enabled company (e.g., health tech, med-tech, fintech, or similarly regulated environments) building and sequencing a roadmap under compliance, validation, and audit constraints.