Value & Solutions Architect

CO2 AI; Paris; Hybrid; EUR 90,000 - 140,000; Full time

Job summary

CO2 AI in Paris, France, seeks a Value & Solutions Architect who translates sustainability ambitions into measurable business value. You’ll combine advisory work with hands-on data engineering, mapping client data, writing Python, and building pipelines that feed CO2 AI platforms.

You will own a small portfolio of strategic accounts, guide onboarding, orchestration across product managers and engineers, and demonstrate platform value through tailored use cases and ROI-driven business cases.

Qualifications

• 4–8 years in management/sustainability consulting and/or data engineering, data science or software engineering.
• Excellent communication and presentation skills.
• Fluent in English.
• Strong analytical ability to translate data into actionable insights.
• Experience using Python on real, messy data.

Responsibilities

• Partner with clients to translate sustainability ambitions into measurable business value and design data foundations.
• Hybrid advisory role: onboarding clients and coordinating across product managers, engineers, and support teams.
• Develop data pipelines and write Python to transform client data into CO2 AI format.
• Own a small portfolio of large, strategic accounts with high impact on sustainability outcomes.
• Demonstrate platform value via tailored demos and ROI-focused business cases.

Skills

Python

Data Engineering

Consulting

Stakeholder Management

Account Management

AI tooling

Sustainability

Tools

Python

SQL

ETL pipelines

Job description

• 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
• 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

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 4-8 years across management/sustainability consulting and/or data engineering, data science, or software engineeringAI-enthusiast, and AI-fluent or almost, and not only for drafting: someone who uses it to get their arms around complex data problems, and to automate the repetitive parts of their own work. Excellent communication and presentation skills, with the ability to influence stakeholders at all levelsExperience being highly exposed to demanding customers, and able to run projects with little guidanceExperience using Python to work with real, messy data, as an engineer or consultantPassion for sustainability and a genuine understanding of environmental challenges and solutionsFluent in EnglishCarbon expertise is a plus: familiarity with carbon accounting, GHG emissions, CCF/PCF, EF matching, and sustainability reporting standardsStrong analytical skills, with the ability to interpret complex, messy data and translate it into actionable insights