AI Product Operations Lead

As an AI Product Operations Lead you will lead AI co-creation for FFU (Forge-for-Utilities) by working directly with customers, Product, Engineering, forward-deployed teams, and strategic AI partners to identify, validate, and scale high-value agentic capabilities. 

You will report directly to our Sr Dir Business Segment and you’ll work out of our Atlanta, GA location on a hybrid work schedule. Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F.

Owns: Customer co-creation program, FDE strategy, rapid AI validation, agentic capability leadership, strategic AI partnerships, and translating data-and-agent capabilities into product marketing and sales enablement campaigns and materials. 

Partners on: Product priorities, platform direction, architecture, delivery resourcing, customer commitments, and business development.

Does not own: The Forge for Utilities product portfolio, product roadmaps, monetization, Product Manager reporting lines, or Engineering line management.

YOU MUST HAVE

• 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 and creating accountability across delivery teams.
• Technical foundation: Engineering or equivalent technical background with the judgment to influence product, platform, data, and architecture decisions.
• Commercial perspective: Strong understanding of customer value, adoption, business outcomes, and the economics of enterprise software.
• Strategic partnerships: Experience working with major technology, cloud, model, or compute partners.
• Hands-on Builder: Uses prototypes, decisions, and customer evidence to create momentum.
• Customer-embedded: Moves comfortably from executive discussions to user workflows and engineering sessions.
• Technically commercial: Understands AI and platform tradeoffs while keeping adoption and customer value in view.
• High ownership: Surfaces gaps early, proposes options, and creates accountability for outcomes.
• Builder mindset, high ownership, clear judgment, direct communication, and comfort working in ambiguity.

WE VALUE

• Experience with industrial AI, IoT, cloud SaaS, digital twins, energy, buildings, utilities, or another asset-intensive domain.
• Formal education or certification in AI, Product Innovation, or Engineering.
• Experience leading technical and customer-facing teams across multiple regions and cultures.
• Fluent in English, Spanish, Italian, and French to support NA and EMEA customers and teams in local languages.

ABOUT HONEYWELL TECHNOLOGIES

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial, and process sectors with a broad portfolio of services, solutions, and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy. Learn more

THE BUSINESS UNIT

Honeywell’s Industrial Automation business unit delivers advanced automation control, instrumentation, and services that help customers improve productivity, safety, and reliability in their industrial operations. We provide innovative solutions that span process automation, sensing and control, and software analytics, enabling industries to optimize performance and meet evolving market demands.

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting Date: 10/15/2026.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more

KEY RESPONSIBILITIES

• Customer Co-Creation: Work directly with utility customers to understand critical workflows, identify high-value AI opportunities, and validate solutions through functional prototypes and rapid iteration.
• Forward-Deployed Engineering: Partner with HCE and SME Engineering to define the FDE strategy, talent profile, deployment model, and customer-facing standard that connect real customer problems with scalable product capabilities. 
• Customer Value Delivery & Earned Revenue: Ensures that engineering teams, in collaboration with customers, product managers, and strategic AI partners, actually deliver software and agentic capabilities to customers that meet or exceed customer expectations, usage targets, and is monetizable to HON.
• Agentic Capability Leadership: Continuously assess what is possible across models, agents, tools, evaluations, and the Forge agentic platform, then translate those advances into practical opportunities for the program.
• AI Ecosystem Partnerships: Partner with Google and NVIDIA to bring current AI capabilities, expertise, and joint support into customer co-creation.
• Building AI Moat: Create defensibility through a common ontology, reusable skills, memory, evaluation sets, golden deliverables, and learning loops that improve capabilities across customers. Translate this into external facing product marketing in collaboration with Forge BD and Marketing teams.