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Axion Lab is seeking a sustainability delivery expert to lead client engagements across GPs, portfolio companies and lenders, delivering robust analyses and decision-ready outputs. You will help shape our AI-native platform by turning project learnings into repeatable methods and product specs.
You will collaborate with co-founders and the product team, operating with autonomy from day one and coordinating with European partners on a flexible, mostly remote basis.
Axion Lab is anAI-native sustainability services firmfor GPs and their portfolio companies. We are building a new kind of product and service for alternative asset managers – turning high-end sustainability expert work into a continuously available, software-native experience an investment team can actually use.
The focus is the cross-portfolio sustainability value-creation assessment and roadmap steering through the holding period. We also deliver sustainability reviews, due diligence, carbon footprints and decarbonisation reports, as add-on offerings.
Our platform combines AI with expert judgement. AI handles the more deterministic parts: data extraction, analysis, modelling, benchmarking and calculations. Sustainability experts focus on the judgement-heavy parts: selecting assumptions and methodologies, interpreting edge cases, challenging conclusions and validating outputs.
1. Deliver projects and learn from delivery
This will be the initial focus.
2. Productise and replicate what works
This will grow as we complete projects together.
As one of the first sustainability delivery experts, you will build these foundations directly rather than inherit or manage an existing team.
If you do not tick every box but bring the right mindset, problem-solving skills and the ability to iterate fast, we would still like to hear from you.
The role is primarily remote and should be compatible with European working hours. Occasional in-person meetings may take place in Paris, London, Luxembourg or Amsterdam, as well as elsewhere in Europe depending on client and team needs.
You would work with