Application Guide

How to Apply for Product Manager

at Carbon Re

🏢 About Carbon Re

Carbon Re is a unique climate tech company using AI to tackle one of the hardest-to-abate sectors: heavy industry. Unlike generic AI startups, they focus specifically on cement and steel production, aiming to cut gigatonnes of CO2 emissions annually. Working here means directly contributing to scalable climate solutions with measurable impact.

About This Role

This Product Manager role involves leading the translation of AI research into practical features that reduce emissions in cement and steel manufacturing. You'll bridge the gap between complex AI models and real-world industrial problems, ensuring solutions are both technically sound and commercially viable. Your work directly influences Carbon Re's ability to scale its climate impact.

💡 A Day in the Life

A typical day might start by reviewing data from pilot tests of an AI feature at a cement plant, then collaborating with data scientists to refine models based on feedback. You could spend midday interviewing plant managers to validate pain points, followed by prioritizing the product backlog with engineering teams. The day often ends with preparing updates for commercial stakeholders on how new features align with decarbonization goals.

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Interview Prep

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🎯 Who Carbon Re Is Looking For

  • Has 2+ years of product management experience in SaaS or tech, with proven exposure to AI, data science, or optimization tools (bonus if in industrial/energy contexts).
  • Demonstrates genuine curiosity about manufacturing processes—can discuss basic cement/steel production steps or physics/engineering principles relevant to industrial efficiency.
  • Shows a track record of aligning technical teams with business goals, ideally in environments where products serve both technical users (engineers) and commercial stakeholders.
  • Uses data fluently to drive decisions, with examples of A/B testing, metric analysis, or feedback loops in past roles.

📝 Tips for Applying to Carbon Re

1

Highlight any experience with industrial tech, energy, or climate-focused products—even if tangential—to show alignment with Carbon Re's mission.

2

In your resume, quantify impact related to AI/ML product launches or data-driven feature improvements (e.g., 'improved model accuracy by X% leading to Y outcome').

3

Mention specific manufacturing pain points you've researched or solved (e.g., energy optimization, predictive maintenance) to demonstrate empathy for industrial users.

4

Tailor your portfolio or case studies to show cross-functional collaboration with research/data science teams, not just software engineers.

5

Avoid generic AI buzzwords; instead, describe how you've translated complex models into user-friendly features or measurable business value.

✉️ What to Emphasize in Your Cover Letter

["Explain why you're passionate about applying AI to heavy industry decarbonization, referencing Carbon Re's focus on cement/steel.", "Provide a concise example of how you've bridged technical and commercial domains in past roles, ideally with metrics.", 'Describe your approach to working with customers in complex, regulated environments (like manufacturing) to validate solutions.', 'Note any foundational knowledge of physics/engineering that helps you grasp industrial processes, even if not from a formal background.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Study Carbon Re's published research or case studies on their website to understand their current AI applications in cement/steel.
  • → Learn the basics of cement production (e.g., kiln operations, clinker formation) and steelmaking (e.g., blast furnace processes) to grasp user contexts.
  • → Review the company's partnerships or clients (if public) to identify target industries and potential pain points.
  • → Explore competitors or similar climate tech firms (like Siemens, ABB, or startups in industrial AI) to understand market positioning.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you approach product discovery for an AI feature aimed at reducing fuel consumption in a cement kiln?
2 Describe a time you collaborated with data scientists to operationalize a model—what challenges arose and how did you align priorities?
3 How do you balance building technically robust AI products with delivering quick wins for customers in industrial settings?
4 What metrics would you track to measure the success of a new emissions-reduction feature, and how would you set up feedback loops?
5 How would you communicate the value of a complex AI tool to both plant engineers and C-level executives in a steel company?
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⚠️ Common Mistakes to Avoid

  • Applying with a generic tech PM resume that doesn't highlight AI/data or industrial experience—Carbon Re needs domain-relevant skills.
  • Overemphasizing consumer product experience without connecting it to B2B, data-intensive, or mission-driven environments.
  • Failing to demonstrate curiosity about manufacturing or climate impact—showing disinterest in the core problem space.

📅 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 Carbon Re!

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