AI Product Operations Lead

The AI Product Operations Lead will lead AI co-creation for FFU (Forge-for-Utilities), bringing together utility customers, Product and Engineering teams, forward-deployed talent, and strategic AI partners to identify, validate, and scale agentic capabilities.

Location and Work Schedule

Based in Atlanta, GA with a hybrid schedule. For the first 90 days, new hires must be prepared to work 100% onsite, Monday through Friday.

Role Reporting

The position reports to the Sr Dir Business Segment.

Responsibilities

• Collaborate directly with utility customers to understand critical workflows, identify high-value AI opportunities, and validate solutions through functional prototypes and rapid iteration.
• Partner with HCE and SME Engineering to define the FDE strategy, talent profile, deployment model, and a customer-facing standard that connects real customer problems to scalable product capabilities.
• Ensure engineering teams, working with customers, product managers, and strategic AI partners, deliver software and agentic capabilities that meet or exceed customer expectations, usage targets, and are monetizable to HON.
• Continuously assess what is possible across models, agents, tools, evaluations, and the Forge agentic platform, then translate advances into practical program opportunities.
• Partner with Google and NVIDIA to bring current AI capabilities, expertise, and joint support into customer co-creation.
• Build defensibility using a common ontology, reusable skills, memory, evaluation sets, golden deliverables, and learning loops; translate outcomes into external-facing product marketing in collaboration with Forge BD and Marketing teams.

Requirements

• 5+ years of work experience in Product Operations.
• Hands-on AI fluency with applied experience in agentic workflows, prototyping, evaluations, observability, orchestration, context, memory, and tools.
• Forward-deployed leadership, including experience deploying or leading technical professionals in customer environments and creating accountability across delivery teams.
• Technical foundation with an engineering or equivalent background and judgment to influence product, platform, data, and architecture decisions.
• Commercial perspective covering customer value, adoption, business outcomes, and the economics of enterprise software.
• Strategic partnerships experience working with major technology, cloud, model, or compute partners.
• Ability to act as a hands-on builder using prototypes, decisions, and customer evidence to build momentum.
• Customer-embedded capability to move between executive discussions, user workflows, and engineering sessions.
• Strong technically commercial judgment balancing AI and platform tradeoffs with adoption and customer value.
• High ownership, including surfacing gaps early, proposing options, and creating accountability for outcomes.
• Comfort with a builder mindset, clear judgment, direct communication, and working in ambiguity.

Technologies

• Google
• NVIDIA
• Forge agentic platform

Benefits

• Employer subsidized Medical, Dental, Vision, and Life Insurance
• Short-Term and Long-Term Disability
• 401(k) match
• Flexible Spending Accounts
• Health Savings Accounts
• EAP
• Educational Assistance
• Parental Leave
• Paid Time Off for vacation, personal business, sick time, and parental leave
• 12 Paid Holidays

What 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.
• Fluency in English, Spanish, Italian, and French to support NA and EMEA customers and teams in local languages.

Ownership

• Customer co-creation program
• FDE strategy
• Rapid AI validation
• Agentic capability leadership
• Strategic AI partnerships
• Translation of data-and-agent capabilities into product marketing and sales enablement campaigns and materials

Partnership With

• Product priorities
• Platform direction
• Architecture
• Delivery resourcing
• Customer commitments
• Business development

Does Not Own

• The Forge for Utilities product portfolio
• Product roadmaps
• Monetization
• Product Manager reporting lines
• Engineering line management