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 its 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 Terawatts product lead for internal AI. Your goal is to make Terawatt AI-native by building the internal operating system. You 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 Terawatts own teams work it is distinct from AI applied to our customer-facing CMS or energy products. If youre an operator builder or strategist whos 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
Bachelors or Masters 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 dont 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
$165000 - $185000 a year
Compensation for this role is determined by several factors including the cost of labor in specific geographic markets and these ranges are intended to provide a helpful reference. The actual compensation offer will be based on the candidates location skills level of expertise and experience and internal equity addition to base salary we offer a comprehensive benefits package and where applicable performance-based incentives.
We are building a team that represents a variety of backgrounds perspectives and skills. At Terawatt we continuously strive to foster inclusion humility energizing relationships and belonging and welcome new ideas. Were growing and want you to grow with us. We encourage people from all backgrounds to apply.
If a reasonable accommodation is required to fully participate in the job application or interview process or to perform the essential functions of the position please contact emailprotected.
Terawatt Infrastructure is an equal-opportunity employer.
Required Experience:
IC
About Terawatt InfrastructureThe 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...
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 its 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 Terawatts product lead for internal AI. Your goal is to make Terawatt AI-native by building the internal operating system. You 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 Terawatts own teams work it is distinct from AI applied to our customer-facing CMS or energy products. If youre an operator builder or strategist whos 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
Bachelors or Masters 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 dont 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
$165000 - $185000 a year
Compensation for this role is determined by several factors including the cost of labor in specific geographic markets and these ranges are intended to provide a helpful reference. The actual compensation offer will be based on the candidates location skills level of expertise and experience and internal equity addition to base salary we offer a comprehensive benefits package and where applicable performance-based incentives.
We are building a team that represents a variety of backgrounds perspectives and skills. At Terawatt we continuously strive to foster inclusion humility energizing relationships and belonging and welcome new ideas. Were growing and want you to grow with us. We encourage people from all backgrounds to apply.
If a reasonable accommodation is required to fully participate in the job application or interview process or to perform the essential functions of the position please contact emailprotected.
Terawatt Infrastructure is an equal-opportunity employer.
Required Experience:
IC
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