About the role
You’ll join
the team that owns Tacto’s analytics product and its tool stack - the engine that turns messy procurement data into clear, actionable “here’s where you can save” opportunities. We work in the B2B procurement space, where every price point and supplier decision matters. On top of ClickHouse, we ingest our customers’ spend and supplier data, detect anomalies and patterns using both classic algorithms and AI, enrich these with external price indices and market signals, and then surface ready-made opportunities: “Here’s where you’re overpaying. Here’s how big the savings are. Here’s what you should look at next.” Every opportunity is the result of a chain of models, rules, and product decisions you’ll help shape - from data ingestion to AI-driven scoring and the UI that lets procurement teams act. If you want to build production AI features instead of just prototypes, this is your home. Your Impact: As a Software Engineer in this team, you will: Help design and evolve the analytics engine that identifies saving potential across millions of rows of procurement data. Shape how we combine customer data, anomalies, and external indices into a single, coherent signal our customers can trust. Build product features that don’t just show charts, but clearly answer: “Where is my biggest opportunity and what should I do now?” Turn advances in AI and machine learning into robust product features - from anomaly detection and opportunity scoring to smart explanations that help users trust the system. Work closely with product, design, and procurement experts to iterate quickly, measure impact, and ship improvements continuously. Raise the bar for engineering quality and ways-of-working in line with our Tacto Engineer principles (see below). 2025 is a year where AI in software is moving at peak velocity. In this role, you’re not just watching that wave from the outside - you’re helping us ride it and turn it into real savings for our customers. What you’ll do (your day-to-day): In this role, you will: Build and evolve our analytics pipelines Work on services that ingest customer data into ClickHouse and Postgres. Implement algorithms and AI-powered detectors that highlight anomalies and patterns worth a closer look. Build AI-powered analysis & decision logic Experiment with and integrate models (from simple heuristics to modern AI approaches) that detect outliers, cluster behavior, or suggest opportunities. Evaluate model performance on real customer data, tune thresholds, and design fallback strategies so the system behaves reliably in production. Work with product and design to decide how AI output is surfaced - explanations, confidence, and “why this?” are first-class product concerns. Turn raw data into “opportunities” Design domain models that connect transactions, suppliers, materials, and external price indices. Aggregate, enrich, and interpret these signals into clear “saving potential” suggestions. Ship customer-facing features Implement end-to-end features across backend and frontend that help procurement teams identify, prioritize, and act on opportunities. Work with React/Next.js to build workflows that feel fast, opinionated, and intuitive - more like a great CRM than a spreadsheet. Own your work in production Instrument features with metrics and logging so we know what’s working - and where AI-driven logic needs refinement. Debug tricky data issues and keep the system reliable as we scale to more data and more customers. Collaborate as a true product engineer Partner with design and product early in the problem-shaping phase. Bring your own ideas to the table - from technical approaches to UX suggestions, including new ways to leverage AI where it genuinely helps users. You don’t have to be a perfect “full-stack unicorn” on day one - but you should be excited to go up and down the stack where it makes sense, and to work hands-on with AI as part of your daily toolkit.