About us We’re Cortea, a Berlin startup transforming audits with AI. Manual, document-heavy audits waste expert time while demand keeps rising. Our AI-powered software and specialized AI agents remove the repetitive work so auditors can focus on judgment. Backed by top-tier VCs with >15m funding, with a working product and paying customers, we’re rapidly scaling. We value first-principles thinking, speed, trust, and kindness. We build side by side in our Berlin office. Your Role You’ll own the data and quality infrastructure that makes Cortea’s AI pipeline trustworthy and continuously improving. Pipeline data, evals, observability, ground truth, retrieval quality. You’re a builder. You write production Python. You think in pipelines and feedback loops, not notebooks. You’ve worked with LLM outputs in production and have strong opinions about how to make probabilistic systems measurable. What you’ll do Build and operate the data pipelines behind Cortea's AI. Every model call, every pipeline state, every customer document, captured, queryable, observable Create the foundation for evaluating agent performance and quality. Make probabilistic quality measurable, regression-detectable, and reproducible across model versions Maintain observability of agent cost and optimizations Improve document extraction and retrieval quality on the documents that matter most (financial statements, audit reports, complex tables) Maintain the Data FBigQuery foundation engineers, PMs, and founders use to make decisions Partner with engineering and product to turn customer feedback into measurable, shipped improvements Success at 6 months Eval framework live across our core pipelines — every ship is measured before it goes out Cost and quality observability on every pipeline run, alerting that catches regressions early Document extraction and retrieval quality measurably better on the documents customers care about most Trusted by engineers and founders to own the data foundation end-to-end Qualifications 4+ years total, 3+ shipping production data infrastructure (pipelines, warehouses, observability) Strong Python and SQL. Reads code to understand data, doesn't just trust schemas Has worked with LLM outputs in production. Has built or seriously used an eval framework Comfortable with cloud data warehouses (BigQuery preferred, Snowflake/Redshift fine), distributed processing, batch and streaming Cares about outcomes over process, clarity over frameworks Comfortable with startup environment high autonomy, high ambiguity, high speed Bonus Built or seriously contributed to retrieval/RAG, document extraction, or OCR systems GCP / BigQuery / Temporal experience Background in audit, compliance, legal, or another document-heavy professional services domain Speaks German No one checks every box. If you’ve shipped retrieval systems and like owning evaluations and pipelines, let’s talk. What we offer Attractive compensation: competitive salary plus significant equity High impact
Senior Data Engineer (Search) (m/f/x) Arbeitgeber: United States Digital Space LLC
Reserved ist ein dynamisches und wachsendes Modeunternehmen, das seinen Mitarbeitenden eine inspirierende Arbeitsumgebung bietet. Mit einer modernen Arbeitswelt, attraktiven Rabatten und umfangreichen Benefits wie Bike Leasing und betrieblicher Altersvorsorge fördern wir nicht nur die Work-Life-Balance, sondern auch die persönliche und berufliche Entwicklung unserer Mitarbeiter. In Mannheim hast du die Möglichkeit, in einem kreativen Team zu arbeiten und deine Leidenschaft für Mode in einem unterstützenden Umfeld auszuleben.
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United States Digital Space LLC Recruiting-Team
