Nils A. B.

Product & Growth Leader Leveraging AI, Data, and Research

Germany

About

Product leader at Enpal, Germany’s first green-tech unicorn, and founding owner of the company’s core energy technology platform. Responsible for building scalable infrastructure and operating systems that connect customers, distributed hardware assets, and virtual power plant enablement with Germany’s grid and energy markets. Focus on low cost-to-serve, operational excellence, and scalable execution in a regulated, 100% renewable energy environment. Previously VP Growth at Hornet, a market-leading queer social network with ~50m global users, responsible for scaling growth and monetization through robust product, pricing, and experimentation frameworks. Continues to advise leading consumer platforms on scalable growth and operating models. Earlier experience includes some years at Bayer, one of Germany’s largest life sciences companies. Graduated with a Master’s in Management Science & Engineering from Columbia University, a part-time MPhil in AI Ethics from the University of Cambridge, and a Bachelor’s in Econometrics & Operations Research from Maastricht University. Academic work was supported by scholarships and honors. Conducted research in quantitative marketing and applied AI at UC Irvine, Goethe University Frankfurt, and Deep Data Lab.

Experience

  • Enpal (Berlin, Germany · Hybrid)
    • SVP Product & Technology
      Jun 2026 - Present · 2 mos

    • VP Product
      Jul 2025 - May 2026 · 11 mos

      Leading Digital Product & Technology at Enpal Energy, Building the Customer-Centric Platform for Scalable Renewable Electricity

  • Research Affiliate at Goethe University Frankfurt
    Sep 2023 - Nov 2025 · 2 yrs 3 mos

    Chair of Electronic Commerce, Department of Marketing at the School of Business and Economics, under the supervision of Prof. Bernd Skiera. Working to solve marketing problems in the digital economy through quantitative research methods and large-scale data with a project titled "Big Data Analytics and AI for Decision-Making in Online Ecosystems: Maximizing Welfare in a Digital World."

  • Hornet (6 yrs 5 mos)
    • VP Growth
      Jul 2023 - Jun 2025 · 2 yrs

    • Head of Revenue
      Jan 2022 - Jun 2023 · 1 yr 6 mos

    • Growth Manager
      Jul 2020 - Dec 2021 · 1 yr 6 mos

  • Research Affiliate at Deep Data Lab
    Jul 2022 - Dec 2024 · 2 yrs 6 mos

    The Deep Data Lab, led by Professor Matthew Harding at UC Irvine, conducts research at the intersection of econometrics and machine learning, collaborating with top companies to solve real-world problems. My research contribution focuses on network topology, applied econometrics, and ad auction theory.

  • Visiting Researcher at UC Irvine School of Social Sciences
    Sep 2021 - Jun 2022 · 10 mos

    Conducted research under Prof. Matthew Harding in the Department of Economics, finalized one independent project leading to a publication, supported two Ph.D. students with their papers leading to working papers, and taught the undergraduate course "Independent Research Project."