Solutions Architect / Forward-Deployed Engineer (m/f/d)

Skip to contentMenu01Discover Freshflow02Impact calculator03Team04Careers05Contact06Customers07PressLanguageENDEFRESTalk with our Experts All open rolesEngineeringSolutions Architect / Forward-Deployed Engineer (m/f/d)TypeFull-timeLocationBerlin (In-Office) · Up to 50% travelTeamEngineeringAbout Freshflow€72 billion worth of fresh food is wasted every year in European grocery retail. Freshflow is building the AI Operating System for the Fresh Food Supply Chain — starting with ordering and inventory optimization for fresh produce departments.We work with some of the largest retailers in Germany and France — EDEKA, REWE, Carrefour, Intermarché, and E.Leclerc — reducing waste by ~24% while improving on-shelf availability. We're growing revenues 400% year-over-year, backed by World Fund and Capnamic, and just getting started.The roleThis is not a normal engineering job. You won't sit in a sprint planning meeting debating story points. You will be Freshflow's face to some of the largest grocery retailers in Europe — multi-billion euro companies like EDEKA, REWE, and Carrefour — sitting across the table from their C-suite, presenting to their executive board, and owning the relationship end-to-end.This role requires real, hands-on supply chain experience — demand forecasting, inventory optimization, replenishment, or retail operations. If you've never worked in supply chain, this role is not for you. We need someone who already understands why fresh is the hardest category in retail, why static safety stocks fail, and what it actually takes to reduce waste at scale.Most people your age are three layers removed from any real decision-maker. You'll be in the room with them, eye-to-eye, showing them how your work is transforming their business. And then you'll go back to your laptop and build what you just promised.You are the single point of execution for your account.You wear a product manager hat when scoping requirements with leadership.You wear an engineer hat when writing Python and SQL.You wear a data scientist hat when analyzing performance across hundreds of stores.You wear a customer success hat when presenting results to the board.There is no “that's not my job.”Think of it as running a tiny startup inside a startup — except your customer is a household-name retailer doing billions in revenue, and your only metric is: do they expand, or do they churn?What you'll actually doOwn 1–2 enterprise accounts — each a major European grocery chain with thousands of stores and billions in annual revenue.Sit in meetings with C-level executives, regional directors, and category heads — presenting your work, defending your recommendations, and shaping how they think about AI in their fresh food operations.Build and ship features in Python — custom analyses, dashboards, integrations into retailer ERP/ordering systems, data pipelines.Build and maintain robust data pipelines and dbt models in our BigQuery data warehouse — ingesting messy retailer data, transforming it into clean, trustworthy tables, and making sure your analyses sit on solid foundations.Write complex SQL queries against our BigQuery data warehouse to surface insights on waste, stockouts, and order accuracy across hundreds of stores.Run deep data analyses that prove ROI and drive account expansion — shrink reduction, acceptance rate improvements, counterfactual impact studies worth millions in savings.Translate executive-level requirements into product improvements, working closely with the core engineering and data science teams.Present strategic recommendations to customer leadership — not in a support capacity, but as a trusted advisor they rely on.Travel to customer HQs, warehouses, and stores across Germany (and occasionally France) — up to 50% of your time.What we're looking forSupply chain experience — real, hands-on experience with demand forecasting, inventory optimization, replenishment, or retail operations. You already understand why fresh is the hardest category...