Finance Manager (Freelance or Part-Time)

AI overview

Drive financial operations by managing bookkeeping, vendor relationships, and cash flow while engaging in special projects like tax compliance.

About dlthub

dltHub is built on dlt, the most widely adopted open-source Python library for data loading with ~4 Million monthly downloads. We are building the next generation of AI-native data tooling on top of our strong OSS foundation.

We move and iterate fast, and ship with a strong bias toward experimentation, automation and user-centric AI workflows. We’re a highly dynamic, fast-moving team founded by experienced data and ML engineers, with roots in Berlin and a growing presence in the US. 

Founded by experienced data and ML engineers, we're backed by Bessemer Venture Partners, Foundation Capital, Dig Ventures,  and technical founders from Hugging Face, Instanta, Matillion, Miro, MotherDuck, DataDog, Mode, LanceDB and Rasa. Our team is driven by clear values: we speak with courage, build what matters, automate relentlessly, show up with energy, deliver on commitments, and win together.


🚀 About the Role

We are currently a team of ~30, with three people in operations team. We’re now looking for a part-time Finance Manager / Freelancer to take our financial operations to the next level.


What you’ll do

🗂️ Key Responsibilities

  • Overseeing monthly bookkeeping and ensuring accuracy across accounts
  • Managing finance-related vendors and partners in both the US and Germany
  • Preparing investor reports and consolidating US and DE financial statements
  • Occasionally working on special projects such as US–DE tax compliance, intercompany agreements, and ESOP administration
  • Overseeing revenue management, ensuring reliable reporting and tracking
  • Monitoring and managing cash flow to support healthy growth

Requirements

What We’re Looking For

✅ Qualifications

  • You have 3–5 years of experience in finance management.
  • You have previous experience working in a start-up or small company (under 50 employees).
  • You are hands-on and proactive, comfortable handling both detail work and strategic projects.
  • You have a basic knowledge of US finance practices.
  • You have direct experience with US tax and compliance processes.
  • You have eagerness to learn more about US–DE taxes and financial structures.
  • You are highly organized and detail-oriented, with strong follow-through.
  • You have at least B2 German and fluent English skills
  • You are based in Berlin and available to work regularly from our office.

Benefits

In our work culture, we value each other’s autonomy and efficiency. We have set hours for communication and deep work. We like automation, so we automate our work before we automate the work of others.

  • We are an office-first company but give you plenty of opportunities for deep work and work from home. Dedicated "no meeting days" to help the team focus on their most impactful work.
  • As we mostly work from the Berlin office, we cover your public transportation ticket.
  • We are deeply committed to your personal and professional growth, and as such, we allocate an annual budget for learning and development.
  • We offer regular subsidized team lunches. 
  • Urban Sports Club membership.
  • For roles that contribute directly to shaping our product and company, we offer an ESOP plan, tailored to each employee’s role and level of commitment.

Perks & Benefits Extracted with AI

  • Free Meals & Snacks: We offer regular subsidized team lunches.
  • Learning Budget: we allocate an annual budget for learning and development.
  • Urban Sports Club membership: Urban Sports Club membership.

The number of Python users increases by millions every year. The vast majority of these people use Python as a tool to solve problems at work. Our mission is to make Python practitioners autonomous when they create and use datasets in their organizations.For this end, we are building data load tool (dlt), an open source Python library, for them. They use dlt in their Python scripts to turn messy, unstructured data into regularly updated datasets. It enables them to create highly scalable, easy-to-maintain, straightforward-to-deploy data pipelines without having to wait for help from a data engineer.We are dedicated to keeping dlt an open source project surrounded by a vibrant, engaged community. To make this sustainable, dltHub stewards dlt while also offering additional software and services that generate revenue (e.g. like GitHub does with Git).dltHub is based in Berlin and New York City. It was founded by machine learning and data veterans. We are backed by Dig Ventures and many technical founders from companies such as Huggingface, Rasa, Instana, Miro, and Matillion.

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