Application Guide

How to Apply for Engineering Manager - Product Engineering (Climate Tech)

at Global Changer

🏢 About Global Changer

Global Changer is a climate tech company building an automated platform that helps B2B organizations achieve Net-Zero emissions faster. What makes them unique is their focus on combining deterministic data processing with AI-assisted workflows (including self-hosted LLMs) to create auditable, high-performance carbon accounting solutions. This is an opportunity to work on meaningful technology that directly addresses climate change while being part of a remote-first EU team.

About This Role

This Engineering Manager role at Global Changer is a true player-coach position where you'll spend about half your time hands-on with data-intensive systems (ETL pipelines, carbon analytics) and AI workflows, while also building and coaching a product engineering team. You'll have significant impact by directly shaping their technical evolution from monolith to services and establishing their data/AI architecture for carbon calculation features that must be correct and auditable.

💡 A Day in the Life

You might start your day reviewing PRs in Go/Ruby code for carbon calculation features, then meet with product to align on upcoming data pipeline needs. In the afternoon, you could be designing an AI workflow for supplier data processing while coaching a senior engineer on service decomposition strategies. The role balances deep technical work on emissions data systems with team leadership and architectural planning.

🚀 Application Tools

Generate Cover Letter

AI-powered, tailored for Global Changer

Interview Prep

Practice questions for this role

🎯 Who Global Changer Is Looking For

  • Has 8+ years software engineering experience with at least 2 years in leadership, specifically as a player-coach who can code in Go/Ruby/Vue.js while managing senior engineers
  • Has practical experience migrating large systems from monolith to services without breaking production, particularly in data-heavy contexts (ETL/ELT, OLTP↔OLAP)
  • Has designed and operated AI-assisted workflows with LLMs for processing large datasets, balancing deterministic logic with AI approaches
  • Demonstrates a product mindset focused on solving customer problems in climate tech, not just shipping tickets

📝 Tips for Applying to Global Changer

1

Quantify your experience with monolith-to-services migrations - mention specific systems, team sizes, and how you maintained stability during transition

2

Highlight specific projects involving carbon accounting, emissions data, or climate-related data systems if you have them

3

Describe your hands-on technical work with data pipelines and AI/LLM workflows separately from your management experience

4

Mention experience with auditability requirements in data systems (common in climate/financial tech)

5

Explain how you've balanced product thinking with technical decisions in past roles, using examples from climate tech or similar regulated domains

✉️ What to Emphasize in Your Cover Letter

['Your experience as a player-coach specifically in data-intensive systems and how you stay technically hands-on while leading', "Examples of architectural evolution you've led (monolith to services) and how you managed risk during transitions", 'Your approach to balancing deterministic data processing with AI/LLM workflows for reliability and correctness', "Why climate tech and Global Changer's specific mission resonates with your career goals"]

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Understand CCF (Corporate Carbon Footprint) calculation methodologies and why auditability matters in this space
  • → Research Global Changer's platform approach - how they guide B2B companies to Net-Zero (check their website/blog)
  • → Learn about current challenges in carbon accounting data systems and where AI/automation can help
  • → Look into EU climate regulations (like CSRD) that affect B2B carbon reporting requirements

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you approach splitting their monolith while maintaining CCF (carbon calculation) feature correctness?
2 Describe your experience designing ETL/ELT pipelines for emissions or similar complex data - what metrics do you track?
3 How have you implemented AI/LLM workflows in production, particularly for processing supplier/emissions data?
4 What's your approach to coaching senior engineers through architectural changes while keeping them product-focused?
5 How do you ensure data integrity and auditability in systems that combine deterministic logic with probabilistic AI outputs?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Focusing only on management experience without demonstrating current hands-on technical skills with data systems/AI
  • Treating this as a pure management role - they explicitly want 50% hands-on work
  • Having no experience with data integrity/auditability concerns (critical for carbon accounting)
  • Not understanding why climate tech requires different approaches than typical SaaS products

📅 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 Global Changer!

← Back to Job Listing Apply Now →