Product Manager, Internal AI

Terawatt Infrastructure

$165K — $185K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in a relevant field (computer science, engineering, etc.)
  • 5+ years of experience in a cross-functional environment such as consulting or product management
  • Hands-on experience with AI applications or AI rollouts
  • Ability to structure solutions rapidly from ambiguous problems
  • Exceptional communication skills for both technical and executive audiences
  • Proven influence over senior stakeholders and cross-functional team adoption
  • Comfort working with engineers and a collaborative technical environment.

Responsibilities

  • Lead cross-functional collaboration to identify high-impact pain points
  • Define and execute product requirements, including prototyping and user feedback
  • Scale successful AI solutions across the organization
  • Establish and report on adoption and impact metrics to the executive team
  • Communicate effectively with C-suite stakeholders about business value
  • Oversee the internal AI intake process and maintain a transparent roadmap
  • Partner with various teams to set responsible-use guidelines for internal AI.
  • Drive change management and enablement initiatives for AI tool adoption.

Benefits

  • Comprehensive benefits package
  • Encouraging growth and development opportunities
  • Inclusive work environment that values diverse perspectives
  • Performance-based incentives
  • Support for professional development and upskilling.
Full Job Description
Role Description

This is Terawatt's 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 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
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  • Scale solutions that gain internal traction by leveraging engineering resources to harden, integrate, and expand proven tools
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  • Define and report on adoption and impact metrics (hours saved, workflows automated, % active users) to the executive team
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  • Communicate clearly and compellingly to C-suite stakeholders on the business value delivered
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  • Run the internal AI intake and prioritization process: source use cases from every function, evaluate ROI, and maintain a transparent roadmap
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  • Partner with the Technology, Legal, and Security to own responsible-use guardrails for internal AI - including model evaluation, data handling, and security policy.
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  • Lead change management and enablement - training, prompt libraries, internal community - so AI tools are actually used, not just shipped
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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
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  • Demonstrated hands-on AI fluency (e.g., shipped an AI-powered application, or led an AI rollout)
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  • The ability to go from ambiguous problem to a structured approach and solution fast, even with fragmented operational systems and messy real-world workflows
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  • Comfort with unstructured environments where you create the playbook, not follow one
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  • 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)
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  • Experience influencing senior stakeholders without direct authority and getting cross-functional teams to adopt new tools and processes
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  • Comfort working closely with engineers - writing specs, debugging in a notebook, reviewing model outputs - even if you don't write production code
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Preferred Qualifications

  • Demonstrated leadership experience in setting up new processes and solutions
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  • Prior experience with product management processes, such as developing user stories, completing Jobs-to-be-Done frameworks, and defining system architectures
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  • 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
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  • Bias toward shipping small, useful loops quickly.
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  • Familiarity with AI evaluation or governance frameworks
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$165,000 - $185,000 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 candidate's location, skills, level of expertise and experience, and internal equity considerations. In 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. We're growing and want you to grow with us. We encourage people from all backgrounds to apply.

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