Product Manager, Internal AI

Terawatt Infrastructure•San Francisco, CA

About The Position

Terawatt Infrastructure is a leader in delivering large-scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. The company develops, finances, owns, and operates charging solutions that take the cost and complexity out of electrifying fleets. This role is Terawatt's product lead for internal AI, aiming to make Terawatt AI-native by building the internal operating system. The Product Manager 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. This role owns the roadmap, ships internal tools, drives adoption, and reports impact directly to the C-suite. It is focused exclusively on how Terawatt's own teams work, distinct from AI applied to customer-facing products.

Requirements

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.

Nice To Haves

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.

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.