Application Guide

How to Apply for Product Manager, Internal AI

at TeraWatt Infrastructure

🏢 About TeraWatt Infrastructure

TeraWatt Infrastructure is at the forefront of fleet electrification, building the critical EV charging infrastructure needed to decarbonize transportation. With a mission-driven culture and a focus on scaling solutions for real-world impact, it's an ideal place for those passionate about climate tech and operational excellence.

About This Role

As the Product Manager for Internal AI, you'll own the full lifecycle of AI-powered tools that enhance how TeraWatt's cross-functional teams work—from identifying pain points to prototyping solutions with AI and scaling them with engineering. This role is pivotal in driving efficiency and innovation across the company, directly accelerating the transition to electric fleets.

💡 A Day in the Life

Your day might start with a standup with engineers to review progress on hardening an AI prototype, followed by a user research session with the operations team to identify new pain points. After lunch, you'd prototype a quick AI solution using no-code tools, then present adoption metrics to the VP of Product. The afternoon could involve triaging the internal AI intake queue and writing a product brief for a new initiative.

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Interview Prep

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🎯 Who TeraWatt Infrastructure Is Looking For

  • Has 5+ years in fast-paced, cross-functional roles (e.g., management consulting, product management) with a track record of structuring ambiguous problems.
  • Demonstrates hands-on AI fluency, such as building a prototype with LLMs, deploying an internal chatbot, or leading an AI tool rollout.
  • Excels at rapid iteration: can quickly build a scrappy MVP using AI tools, gather feedback, and refine based on user input.
  • Possesses exceptional communication skills to influence senior executives and align diverse stakeholders around AI initiatives.

📝 Tips for Applying to TeraWatt Infrastructure

1

Highlight specific examples of AI applications you've built or deployed, even if internal or experimental—include the problem, tools used, and impact.

2

Quantify your impact in previous cross-functional roles, especially how you prioritized and scaled solutions (e.g., 'reduced manual effort by 40% via an AI tool').

3

Show familiarity with TeraWatt's mission by mentioning fleet electrification or EV charging in your cover letter or resume summary.

4

Tailor your resume to emphasize speed of iteration—use phrases like 'rapid prototyping,' 'MVP in weeks,' or 'user feedback loops'.

5

If you have experience with internal tooling or intrapreneurship, make it front and center; this role is about building for internal users.

✉️ What to Emphasize in Your Cover Letter

Emphasize your ability to identify high-leverage pain points in a fast-moving environment, your hands-on AI skills (mention specific tools like GPT, LangChain, or no-code AI platforms), and your experience scaling solutions from prototype to production. Connect your work to TeraWatt's mission of accelerating fleet electrification.

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read TeraWatt's case studies or press releases about their charging infrastructure projects to understand their operational challenges.
  • → Explore their careers page or LinkedIn to see how they talk about company culture and values—especially around sustainability and innovation.
  • → Look into the EV charging industry's pain points (e.g., grid integration, maintenance, data management) to anticipate internal needs.
  • → Review recent news about AI in climate tech or fleet management to bring informed ideas to the interview.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe a time you identified a high-impact pain point and built a solution from scratch. How did you prioritize it?
2 Walk us through your process for taking an ambiguous problem and structuring it into a product roadmap.
3 How do you decide when to use a quick AI prototype vs. investing in a more robust engineering solution?
4 How would you measure the success of an internal AI tool? What metrics would you report to executives?
5 Given TeraWatt's focus on EV charging, what internal AI use cases do you envision (e.g., optimizing charger deployment, automating fleet analytics)?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Don't focus only on external customer-facing AI; this role is internal—emphasize how you improve employee workflows and efficiency.
  • Avoid being too theoretical or high-level; this role values hands-on building and rapid iteration, so show concrete examples.
  • Don't neglect the 'scale' aspect—mentioning how you took a prototype to a hardened, integrated solution is key.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to TeraWatt Infrastructure!

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