paid/ full-time / remote (North America)
Solutions Engineer at RStudio
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 toolchain, and we aim to make it available to everyone, regardless of their economic means. Our customers are leading-edge innovators in analytics, machine learning, big data, and similar domains and generally work in R and Python.
About the job:
Our Solutions Engineers are responsible for helping customers understand and realize the benefits of our suite of products. You will work with customers through a combination of email and phone on these types of activities:
- Working closely with Customer Success to present, discuss and demonstrate our various capabilities
- Discussing optimal solution architecture and consulting on tradeoffs between various approaches
- Installing, configuring and integrating RStudio products with customer systems, backing up our support organization when a customer becomes blocked
- Helping to build a knowledge base of support documents, customer demos, and marketing collateral
- Providing technical representation for RStudio (teamed with Customer Success) at trade shows (2-4 times per year post COVID)
- Giving presentations, training, webinars and workshops (e.g. at rstudio::conf)
- Collaborating with engineering on packages and products, both open source and professional
As a member of the solutions engineering team you will have the opportunity to grow and specialize your technical skills. You will work closely with the best engineers in the R and Python communities; you will help customer IT organizations solve complex problems; and you will help define best practices for using R and Python in production. Solutions engineers have a tremendous opportunity to grow their expertise and influence at RStudio. Some visible examples of the output of this team appears on solutions.rstudio.com, db.rstudio.com and docs.rstudio.com.
About you:
You have:
- A strong background in R and/or Python programming and knowledge of the respective ecosystem(s)
- A general understanding of enterprise infrastructure such as Linux system administration, authentication mechanisms and virtualization
- Proven communication skills ; specifically, the ability to explain complex problems to customers, with patience and empathy
- A desire for ongoing learning , keeping up-to-date with the latest cloud and data science technologies: compute tools (Kubernetes, Spark), integration points (Databases, ETL tools), and CI/CD workflows (Git, Infrastructure-as-Code)
- Extensive experience working collaboratively with your team and across teams to solve challenging problems
- A desire to share your knowledge, in the form of support articles, blog posts, training, etc.
About us:
- We welcome all talented colleagues and are committed to a culture that represents diversity in all its forms .
- We prioritize giving ourselves “focus time” to get deep work done. We minimize meetings and aim to operate asynchronously.
- We are a learning organization and take mentorship and career growth seriously. We hope to learn from you , and we anticipate that you will also deepen your skills, influence, and leadership as a result of working at RStudio.
- We operate under a unique sustainable business model : over 50% of our engineering group is dedicated to creating free and open source software. We are profitable and we plan to be around decades from now.
Notable:
- 100% distributed team (or come in to one of our offices in Seattle or Boston) with minimal travel
- Competitive compensation with great benefits including medical, dental, and vision insurance (100% of premiums covered)
- 401k matching
- A profit-sharing program when the company does well
- A home office allowance or reimbursement for a coworking space
- Flexible environment with a generous vacation policy
RStudio is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds, cultures, genders, experiences, abilities, and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.