Fund Team Intern - Finance & AI Process Automation (f/m/d) at Earlybirdvc Gmbh

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

31 Aug, 26

Salary

0.0

Posted On

02 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Finance, Accounting, AI Process Automation, Portfolio Management, Startup Valuation, Microsoft Excel, Python, Power Automate, LLM Tools, Analytical Skills, Problem Solving, Organizational Skills, English Proficiency, German Proficiency

Industry

Venture Capital and Private Equity Principals

Description

About You Do you have a strong interest in the European Start-Up and Venture Capital ecosystem and a solid foundation in finance or accounting? Are you eager to explore how AI and modern automation tools are reshaping financial processes - and do you want to be the person who actively drives that change? Please apply to join our Fund Team as an Intern in our Berlin office! About Earlybird Founded in 1997, Earlybird identifies and backs exceptional early-stage companies on a pan-European basis - supporting them through their growth and development phases and providing financial resources, strategic support, plus access to an international network and capital markets. Through two separate strategies, Earlybird focuses on tech-enabled businesses in fintech/ insurtech, enterprise software, and deep tech (energy, food, and space) while Earlybird Health focuses on improving patient outcomes. Earlybird additionally has a Growth Opportunity Fund for follow-on investments, and a pro-bono impact initiative, Vision Lab. With EUR 2.5 billion under management across fund streams and a history of 9 IPOs and 35 trade sales, Earlybird is among Europe’s most established and active venture capital firms. More information on www.earlybird.com, LinkedIn, and X. At Earlybird, your projects, responsibilities, and tasks will likely include: In this role, you won’t just support our team in day-to-day fund operations. You’ll bring a fresh perspective on how we do things. You’ll work alongside experienced finance professionals, get hands-on exposure to portfolio management and early-stage startup valuation, and apply your theoretical finance knowledge in a real fund environment. At the same time, we want you to actively challenge our existing processes: identify where AI tools, automation, and modern fintech can make our workflows smarter, faster, and more robust. What we hope you bring to the role: Currently pursuing a university degree, recently graduated, or between academic programs, with a strong interest in finance, accounting, and business administration. Curious, open-minded, a team player, and possessing a global mindset. Strong analytical skills with a fact-driven and pragmatic problem-solving approach. Genuine interest in AI, automation, and the question of how modern technology can reshape financial workflows - you follow trends, form opinions, and like to experiment. Excellent attention to detail and strong organizational skills. Proficiency in Microsoft Excel; experience with financial software, data tools, or AI-assisted productivity tools (e.g. Python basics, Power Automate, or LLM-based tools) is a plus. Proficient in English and German, both written and spoken. Available to work full-time for 6 months in our Berlin office. Must have valid work authorization for Germany. Why join us Joining Earlybird means working in an environment built on trust, curiosity, and ambition. You’ll be encouraged to think independently, take ownership from day one, and challenge ideas in pursuit of better outcomes. We value integrity in how we decide and act, reward merit and initiative, and give people the space to grow, learn, and make a real impact alongside founders shaping Europe’s future. Interview Process Please upload your CV and a short statement (max. 1000 characters) explaining why you would like to work as a Fund Team Intern in the future. Upload your statement to the 'Other' folder in the application form.

Responsibilities

Support day-to-day fund operations and gain exposure to portfolio management and early-stage startup valuation. Identify and implement AI tools and automation to optimize financial workflows and processes.