Solutions Engineer

AI overview

Join a dynamic team to implement AI-native data tooling and enhance customer experiences with dltHub products, contributing significantly to both pre-sales and post-sales activities.

We are looking for an enthusiastic Solutions Engineer to help our customers implement our products in their systems, as well as assist our sales team in winning customers. If you thrive in the fast-paced environment of a small team and are excited about playing a pivotal role in shaping the product of an early-stage startup, then this opportunity is made for you.

Who we are

dltHub is built on dlt, the most widely adopted open-source Python library for data loading with ~4M 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.

Your Task and Responsibilities:

The solutions engineering team both manages post-sales activities and contributes to pre-sales activities. You will be a key member of this team, performing tasks like:

  • Help our customers implement and deploy dlt OSS in their systems
  • Guide the onboarding and support for our upcoming paid offering - dltHub platform
  • Manage the full customer lifecycle
  • Collaborate with our CEO to support the sales process, e.g. by building demos
  • Be the voice of customer: gather feedback from customers and collaborate with the product team to address customer challenges and feature requests
  • Manage customer-facing materials (documentation, presentations, website, training materials)
  • Run training sessions with customers

Requirements

Who You Are

  • You are based in Berlin and willing to work in our office regularly
  • Experience in a technical customer facing role (e.g. Solutions Engineer, Solutions Architect, Forward Deployed Engineer or similar)
  • Experience in a Data Engineering (or similar) role
  • Quick learner, eager to explore new technologies
  • Working knowledge of Python and data landscape solutions

Nice to Have

  • Experience teaching & communicating technical material
  • Prior experience with dlt’s ecosystem, e.g.:
    • Iceberg
    • dbt
    • Snowflake
    • Databricks
    • DuckDB
    • Relational databases (Postgres, MSSQL, Oracle, etc.)
    • Airflow
    • Dagster

Benefits

What we offer:

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 and Urban Sports Club membership.
  • We also offer an ESOP plan for employees, based on their role and level of dedication. We provide an option to increase your ESOP if you grow with us.

Perks & Benefits Extracted with AI

  • Education Stipend: we allocate an annual budget for learning and development.
  • Free Meals & Snacks: We offer regular subsidized team lunches.
  • Home Office Stipend: We are an office-first company but give you plenty of opportunities for deep work and work from home.
  • Public transportation coverage: As we mostly work from the Berlin office, we cover your public transportation ticket.

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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