Search & Relevance Engineer, Semantic / AI Search (Europe, Remote)

We're hiring a senior Search & Relevance Engineer for a fast-growing, US-based B2B SaaS company. You'll own one question: when a user describes who they're looking for, do we give them the right results? You'll measure relevance, find what's broken and ship the fix yourself, working with AI coding agents every day. This is a full-time remote role. What you'll do Own search quality across filter search (Elasticsearch) and AI search (natural language to filters). Build the measurement: relevance benchmarks, labeled query sets, offline evals and online metrics. Online, that means tracking whether searches end in a saved result, a refined search, or an abandoned search. Tune Elasticsearch: mappings, analyzers, keyword and industry matching, scoring, synonyms, and handling of messy company names and domains. Build semantic and hybrid search: embed company and person profiles, run vector search alongside keyword search, and tune how the two are blended. Use embeddings to classify companies (industry, business type, B2B/B2C), group similar companies, and power companies like this one. Improve AI search through prompts, schema, model choice and evals. For example, Series A fintechs in Berlin with 50 to 200 employees should become the right set of filters. Find where the data is missing or wrong, measure the impact, and recommend what to fix, enrich or buy. Benchmark data coverage, accuracy and freshness against external sources, and turn the results into a roadmap. Ship code, not