Solutions Engineer

Who We Are

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.

dlt is an open-source library that automatically creates datasets from messy, unstructured data sources. You can use the library to move data from just about anywhere into the most well-known SQL and vector stores, data lakes, storage buckets, or local engines like DuckDB. It automates many cumbersome data engineering tasks and can be handled by anyone who knows Python. More details in this Hacker News article.

dltHub is based in Berlin and New York City. It was founded by data and machine learning veterans. We are backed by Foundation Capital, Dig Venture, and many technical founders from companies such as Hugging Face, Instana, Matillion, Miro, MotherDuck, Datadog, Mode and Rasa.

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 and dlt+ in their systems
• Manage the full customer lifecycle
• Collaborate with our CEO to support the sales process, e.g. by building demos
• 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

Who You Are

• 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
• Prior experience with dlt’s ecosystem, e.g.:
• Iceberg
• dbt
• Snowflake
• Databricks
• DuckDB
• Relational databases
• Airflow
• Dagster

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 work often from the Berlin office, we cover your public transportation ticket
• We are deeply committed to your personal and professional growth, so we have an annual budget for learning and development.
• We offer regular subsidized team lunches and Urban Sports Club membership.
• We also have an ESOP plan for employees, depending on their role and dedication. We provide an option to increase your ESOP if you grow with us.