AI Product Operations Lead

Job Description

Job Description

Overview

Recognized by Clarivate, Forbes, the Human Rights Campaign, and Military Friendly® for innovation, workplace excellence, inclusion, and veteran support.

A global building automation and industrial technology company with 100+ years of history , 25,000+ patents , and 7,000+ engineers , operating across 70+ countries and 4 major business areas . Its technologies support industries including buildings, manufacturing, healthcare, data centers, and utilities worldwide.

• 401(k) match: Employer matches 87.5% of the first 8% of eligible pay, up to 7% of base salary; generally fully vested after 3 years.
• Education support: Up to $5,250/year for eligible undergraduate programs and $7,500/year for graduate programs.
• Paid parental leave: 8 weeks (40 business days) for birth, adoption, or foster-care placement.
• Paid time off: 56 hours of paid sick time annually, plus vacation and 12 paid holidays.
• Health coverage: Medical, dental, and vision plans, including an HSA-eligible medical option and 100% in-network preventive care.
• HSA & FSA: Tax-advantaged accounts for eligible healthcare, dental, vision, and dependent-care expenses.
• Disability coverage: Short-Term Disability provides 100% of base pay for up to 8 weeks, then 70% through week 26; Long-Term Disability provides 60% of base pay after Short-Term Disability.
• Employee support: Company-paid with 8 sessions per issue per year, plus health and wellness resources.
• Employee support: Company-paid Employee Assistance Program with 8 sessions per issue per year, plus health and wellness resources.
• Insurance & discounts: Company-paid basic life insurance of 1× annual base pay, Accidental Death & Dismemberment coverage, Business Travel Accident Insurance, and employee discounts.

Benefits may vary by location, position, employee classification, and eligibility.

• 5 years of work experience in Product Operations.
• Hands-on AI fluency: Applied experience with agentic workflows, prototyping, evaluations, observability, orchestration, context, memory, and tools.
• Forward-deployed leadership: Experience deploying or leading technical professionals in customer environments.
• Technical foundation: Engineering or equivalent technical background.
• Commercial perspective: Strong understanding of customer value, adoption, and the economics of enterprise software.

• Work directly with utility customers to understand critical workflows and identify high-value AI opportunities.
• Partner with HCE and SME Engineering to define the FDE strategy and customer-facing standards.
• Ensure engineering teams deliver software and agentic capabilities that meet or exceed customer expectations.
• Continuously assess what's possible across models, tools, and the Forge agentic platform.
• Partner with Google and NVIDIA to bring AI capabilities into customer co-creation.