Clemens Meyer zu Rheda

Building Your AI Backoffice | Bringing Autonomous Agents to Small Business

Berlin, Berlin, Germany

About

Experience

  • VP Product & Tech at EterniTeam
    Feb 2026 - Present · 5 mos

  • Enter (Berlin, Germany · Hybrid)
    • Lead Data Engineer
      Apr 2024 - Dec 2025 · 1 yr 9 mos

      Led data infrastructure as part of the tech leadership team, ensuring reliable, observable, and high-quality data flows across all engineering domains. Deployed event-driven architecture using AWS EventBridge and SQS, designed and implemented consumer-driven contract testing and a real-time monitoring in Go on Kubernetes. Instituted company-wide data quality contracts, monitoring, and alerting, embedding them into engineering’s incident management process — cutting mean time to detection for data issues from hours to minutes. Planned and orchestrated a large-scale system migration, decoupling Salesforce from core operations by introducing HubSpot for Sales/Marketing and backend services for Operations; coordinated delivery across multiple engineering teams. Served as the most senior individual contributor, reporting directly to the CTO, and acting as trusted advisor to Sales, Marketing, Ops, and Product leadership on critical technical and organizational decisions.

    • Senior Data Engineer
      Feb 2023 - Mar 2024 · 1 yr 2 mos

      Architected and built the company’s analytics platform end-to-end (Snowflake, dbt, Metabase, Airbyte, Terraform), partnering with business stakeholders to define requirements and enabling data-driven decision-making across all functions. Hired and mentored an analytics team (analysts, analytics engineer, analytics lead), handing over day-to-day analytics while retaining ownership of infrastructure and strategic direction.

  • Engineering Fellow at DigitalService
    Aug 2022 - Nov 2022 · 4 mos

    Three month digital prototyping sprint to address the need of the public sector to hire top tech talent. Built digital prototype based on Angular and Python.

  • Data Scientist at Foundamental
    Jul 2018 - Jul 2022 · 4 yrs 1 mo

    Built and maintained data ingestion pipelines with Prefect on Kubernetes, orchestrating connections to diverse external APIs and custom data sources to create scalable datasets for venture capital analysis. Designed, trained, and deployed NLP models to assess startup relevance and investment potential, integrating predictions into the investment workflow. Implemented a CI/CD pipeline to automate deployment and monitoring of ML models and data pipelines, ensuring reliability and rapid iteration. Development of an internal React application, partnering with engineers and investment stakeholders to deliver a data-driven tool for deal sourcing and evaluation.

  • Research Assistant, PhD Candidate at Freie Universität Berlin
    Mar 2013 - Nov 2017 · 4 yrs 9 mos

    PhD in Quantum Physics: Theoretical & Statistical Analysis of Qubit Entanglement via Weak Measurements