We are building a Slides & Sales Artifacts Factory and are looking for a designer who has experience creating enterprise and SMB level sales presentations and artifacts (must-have). We want a strong human touch, paired with the ability to set up AI automations using Claude. The plan is to first build out a solid template system, then layer in automations that let the team self-serve when creating their own presentations — with you available for support and polish along the way.
Requirements
- Proven experience designing enterprise and SMB-level sales presentations and artifacts (must-have)
- Strong visual/design sensibility, with a genuine human touch that goes beyond template assembly
- Comfortable working with or learning to set up AI automations using Claude
- Able to build a scalable template system from scratch
- Available for ongoing support and polish as the team self-serves off the templates
- Available at least 20h/week for the first 3-4 weeks
- Available 20h/week on an ongoing basis, across three days a week
Skills Required
- Proven experience designing enterprise and SMB-level sales presentations and artifacts
- Strong visual and design sensibility with a human-centered approach
- Ability to work with or learn to set up AI automations using Claude
- Ability to build a scalable template system from scratch
- Availability for ongoing support and visual polish
- Availability for at least 20 hours per week during the first 3–4 weeks
- Availability for 20 hours per week on an ongoing basis across three days per week
What We Do
Since 2017, the number of Python users has been increasing by millions annually. The vast majority of these people leverage Python as a tool to solve problems at work. Our mission is to make them autonomous when they create and use data in their organizations. For this end, we are building an open source Python library called data load tool (dlt). Our users use dlt in their Python scripts to turn messy, unstructured data into regularly updated datasets. It empowers 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 (similar to what GitHub does with Git). dltHub is based in Berlin and New York City. It was founded by data and machine learning veterans. We are backed by Dig Ventures and many technical founders from companies such as Hugging Face, Instana, Matillion, Miro, and Rasa
