RStudio are hiring for an Open Source Engineering Manager to help support RStudio open source engineers and think about how to support the broader community.
Information from the full job advert:
RStudio creates great software that helps people understand data and make better decisions in real-world applications. Our core offering is an open source data science platform, and we aim to make it available to everyone, regardless of their economic means. Together, RStudio’s open-source software and commercial software form a virtuous cycle: The adoption of open-source data science software at scale in organizations creates demand for RStudio’s commercial software; and the revenue from commercial software, in turn, enables deeper investment in the open-source software that benefits everyone.
The goals of the Open Source group are not only to provide a seamless end-to-end data science experience, but also to help users learn and flourish. We value kindness, humility, openness, and resourcefulness in our work and interactions with the community and each other. To date, the open source R teams (mlverse, rmarkdown, Shiny, tidymodels, tidyverse, and vetiver) have existed largely independently, each led by a technical expert. As the number of open source engineers has increased, our relatively informal existing structure has started to show its weaknesses and we’re looking for an engineering leader to help us grow with confidence. You will work hand in hand with our Chief Scientist (Hadley Wickham), our CTO (Joe Cheng), our other technical leads, and our program director (Tracy Teal) to ensure that our open source engineers continue to flourish as we grow.
This role has the potential to have a substantial impact on the practice of data science. Across our open source teams, we develop hundreds of R packages including some of the most popular packages in the R ecosystem, like dplyr, ggplot2, shiny, rmarkdown, and tidymodels, which are collectively used by millions of people each year.
Communication: Because our open source developers work so independently, it’s sometimes hard to get a high-level view of everything we’re working on. We need you to help us improve our reporting and cross-team communication so that we can better articulate a shared vision within the team and better explain our current priorities to the rest of the company. You’ll also help coordinate projects that cross our open source and commercial teams, helping us provide a polished end-to-end experience for our commercial customers.
Product: Our goal is to deliver seamless end-to-end experiences for all data scientists. While we’re well connected to pain experienced by our vocal twitter community, we hear less from industry data scientists. We want you to develop a systematic process for listening to all our users to make sure we’re not missing important pain points. As part of this, you’ll work closely with our solutions engineering, customer success, and product management teams to both learn product gaps and to execute solutions that require cross-team coordination.
There is no deadline for application - it will remain open until the post is filled.
For more information and to apply see the full job advert.