As a Value & Solutions Architect at CO2 AI, you will partner with leading organizations to translate their sustainability ambitions into measurable business value and you'll build the data foundations that make that value real.
This is a hybrid role. One half of it is advisory: from the moment a customer joins our platform, you are their trusted advisor, guiding them through a seamless onboarding experience, orchestrating collaboration across our expert teams (product managers, support engineers, back office), and ensuring they unlock the full potential of CO2 AI. The other half involves working with the actual data and platform: you get into the client's data yourself, mapping and cleaning it, writing the code that turns messy inputs into CO2 AI's data format, and standing up the pipelines that everything else depends on.
You will own a small portfolio of large, strategic accounts. Low volume, high stakes: these are some of the biggest companies in the world, and what you do lands at the top of their sustainability agenda and in the pipelines that run underneath it.
Strategic Advisory: Partner with clients to turn their sustainability ambitions into actionable strategies that align with business objectives and drive measurable impact.
Value Realization: Leverage the CO2 AI platform to surface decarbonization opportunities, quantify their business value, and rally stakeholders to act.
Hands-On Data Engineering: Collect, map and clean client data to make it digestible by the CO2 AI software, and write robust, repeatable Python to transform it into CO2 AI data format. You own the pipeline, not just the strategy on top of it.
Carbon Expertise: Be the person who knows EF matching cold - helping companies build accurate carbon footprints (CCF and PCF) and drive real reduction programs.
Stakeholder Engagement: Build trusted-advisor relationships across the C-suite, sustainability, procurement, and R&D, guiding clients through their transformation.
Cross-Functional Collaboration: Work hand-in-hand with professional services, solutions architects, product, sales, and engineering and represent the voice of your customer back to the rest of the company.
AI Use Cases: Depending on your background, deliver AI use cases to clients alongside the platform, putting AI to work inside their sustainability function and going beyond what the product does on its own.
Working with AI: Use AI as a central part of how you work. On the data side, to get your arms around messy client datasets fast, not necessarily to solve everything yourself, but to know what you're looking at and what to ask for. On the delivery side, to automate the repetitive parts of onboarding, quality checks and recurring reporting, so your time goes to the client rather than the plumbing.
Continuous Improvement: Document the end-to-end data flow, continually looking for better ways to collect and process data, and promote adoption across your customer base.
Pre-Sales Advisory: Demonstrate platform value to prospects through tailored demos and compelling business cases that quantify ROI and win internal buy-in.
This role is deliberately built for a blend of profiles, someone strong on the consulting side who can run their own data engineering work leveraging AI tooling, or an experienced data engineer with strong client-facing experience who wants to own the client relationship.
Role based in central Paris. Office-based during onboarding, then up to 2 remote days a week and up to 3 fully remote weeks a year.
In this role, you will report to the Customer Director. You will work closely with the Value Consultants, Solution Architects and our sales, product and engineering teams.
€60,000 to €100,000 total compensation, variable included, depending on your seniority and where you land on our internal grid. We will discuss this openly during the process. Plus BSPCE. Health insurance with Alan. Meal vouchers with Swile. 50% of commuting costs. A Mac and the tools you need, including a Claude licence.
We'll do our best to make sure you get feedback within 48 hours maximum after each interview.
CO2 AI helps large and complex organizations measure their environmental impact, identify credible levers, and decarbonize at scale, leveraging the power of AI.
