Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Senior Partner Solutions Advisor

Posit
CompanyPosit
CategoryConsulting & Strategy
LocationUSA - Remote
RemoteRemote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted27 Jul 2026
Last verified5 Aug 2026
SourceEmployer ATS (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Senior Partner Solutions Advisor Posit's mission is to create free and open-source software for data science, scientific research, and technical communication to enhance the production and consumption of knowledge by everyone, regardless of economic means. We are a different kind of software company , and we’re proud to build and sell products that help people understand and improve the world through data. Posit’s Solutions Engineering team aims to reduce the distance between our customers and partners and our Pro and Open Source offerings.  We help our customers – especially their IT/SysAdmin teams – understand, evaluate, configure, and use our professional products.  We also help our technology alliance partners understand and recommend Posit solutions to their customers.  We aim to bring curiosity and empathy to every engagement, learning about the pain the customer experiences trying to get value from Open-Source Data Science. But that’s only half the job. As we learn about what customers and partners want, we use that knowledge to improve our products, documentation, and sales processes. As an SA, you’ll play an important role in empowering partners, accelerating customer evaluations, building our sales success, and making Posit and our products work better in the future. People who thrive in this role tend to: Find joy in working directly with customers and prospects in sales cycles.  This role is pre-sales focused and at least 50% customer- and partner-facing. Understand the indirect sales process in enterprise software and enjoy evangelizing and enabling partner sales teams . Be excited about a global territory. Have some exposure to data science . Many people on the team are ex-data scientists, and you’ll spend a lot of time talking to customers about data science workflows and use cases. It’s worth noting that you won’t be doing data science or writing code daily. Be interested in the server infrastructure and architecture that underlies enterprise data science. Most of our conversations with customers are with IT teams and System Administrators. Many SEs arrive at Posit with limited exposure to these things but have some demonstrated interest (for example, maybe you’ve run your own RStudio or Shiny server, become an accidental DBA, or become the go-to person for help with Docker containers). Be familiar with Snowflake ’s data cloud and its Snowpark Container Services offering. Be hungry and humble . Sol-Eng covers an impossibly broad technical scope. Great SAs quickly admit what they don’t know and constantly seek to learn more. Find excitement in having many demands on your time, rather than overwhelm. The SA team has close relationships with almost every other team at Posit. There’s no limit to the different projects SAs could take on, being able to choose important things (with help and guidance from managers) and ignore distractions is a key skill for a Posit SA. What you’ll own own: Maintaining relationships with and tools for partner technical sales teams - running enablement sessions, building demo assets, designing pricing calculators, and helping them understand when and why Posit’s tools can meet open source data science needs for their customers. Subject matter expertise about Posit’s Snowflake integrations across connected app and native application Responsibility for providing the voice of the customer to other teams at Posit, especially product management and product engineering. A variety of projects that might include creating and delivering public webinars, talks, and workshops. writing and maintaining documentation, how-to articles, and demos of our products. working on our internal data science infrastructure – picking up the newest in our Pro Products and preparing them to show to customers. exploring enhancements and integrations for our Pro and Open Source pr