About Terawatt Infrastructure
The once-in-a-century transition to autonomous and electric vehicles is underway and will require a multi-trillion-dollar investment in energy and charging infrastructure, and the real estate to site it on. Terawatt is the leader in delivering large-scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. Whether it’s an urban mobility hub or a carefully located multi-fleet hub for semi-trucks, Terawatt brings the talent, capabilities, and capital to create reliable, cost-effective solutions for customers on the leading edge of the transition to the next generation of transport.
With a growing portfolio of sites across the US in urban hubs and along key logistics and transportation corridors and logistics hubs, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through a robust combination of capital, real estate, development, and site operations solutions. The company develops, finances, owns, and operates charging solutions that take the cost and complexity out of electrifying fleets.
At Terawatt, we execute humbly and with urgency to provide tailored solutions for fleets that delight our clients and support the transition of transportation.
Role Description: This is Terawatt's product lead for internal AI. The Product Manager's goal is to make Terawatt AI-native by building the internal operating system. This position will define and execute the strategy for how every Terawatt employee across Development, Finance, Operations, and Technology uses AI to work faster, with better judgment, and at greater scale. You will own the roadmap, ship internal tools, drive adoption, and report impact directly to the C-suite.
This role is focused exclusively on how Terawatt's own teams work — it is distinct from AI applied to our customer-facing CMS or energy products. If you're an operator, builder, or strategist who's been asking yourself "how do I get closer to building something?" — this opportunity is for you. Core Responsibilities: • Lead cross-functional discovery across all Terawatt teams (e.g. Development, Finance, Operations, and Technology) to identify high-leverage pain points and prioritize these by business impact
- Define product requirements, build prototypes using AI tools, gather user feedback, and iterate rapidly — owning the full product lifecycle from zero to deployed
- Scale solutions that gain internal traction by leveraging engineering resources to harden, integrate, and expand proven tools
- Define and report on adoption and impact metrics (hours saved, workflows automated, % active users) to the executive team
- Communicate clearly and compellingly to C-suite stakeholders on the business value delivered
- Run the internal AI intake and prioritization process: source use cases from every function, evaluate ROI, and maintain a transparent roadmap
- Partner with the Technology, Legal, and Security to own responsible-use guardrails for internal AI — including model evaluation, data handling, and security policy.
- Lead change management and enablement — training, prompt libraries, internal community — so AI tools are actually used, not just shipped Minimum Qualifications: • Bachelor’s or Master’s degree in computer science, engineering, information systems, business administration or related field.
- 5+ years experience in a highly cross-functional, fast-paced environment — management consulting, investment banking, product management, or a top-tier operating role
- Demonstrated hands-on AI fluency (e.g., shipped an AI-powered application, or led an AI rollout)
- The ability to go from ambiguous problem to a structured approach and solution fast, even with fragmented operational systems and messy real-world workflows
- Comfort with unstructured environments where you create the playbook, not follow one
- Exceptional written and verbal communication skills; you can speak the language of both engineers and executives (incl. setting metrics/KPIs and reporting on these on a regular cadence)
- Experience influencing senior stakeholders without direct authority and getting cross-functional teams to adopt new tools and processes
- Comfort working closely with engineers — writing specs, debugging in a notebook, reviewing model outputs — even if you don’t write production code Preferred Qualifications: • Demonstrated leadership experience in setting up new processes and solutions
- Prior experience with product management processes, such as developing user stories, completing Jobs-to-be-Done frameworks, and defining system architectures
- Academic background or prior experience in software engineering
- Experience deploying internal AI tools (e.g. Copilot, ChatGPT Enterprise, Glean, custom RAG, agents) at a 100+ person company
- Bias toward shipping small, useful loops quickly.
- Familiarity with AI evaluation or governance frameworks