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Posit

Open-source data science deployment and collaboration

Senior Software Engineer

Software EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$141.8k - $187.1kRemote

About the Job

Requirements

  • Proficiency in either Go or TypeScript and in either Python or R is helpful for the role.
  • Experience with backend systems, data tooling, and data science frameworks is helpful for the role.
  • Strong technical background with a track record of shipping successful products.
  • Interest in building tools that enable customers to use artificial intelligence in their work and judgment about when artificial intelligence is not appropriate.
  • Ability to work with ambiguous requirements, prototype solutions, and learn unfamiliar subjects.
  • Ability to make user-focused product decisions with minimal upfront guidance.

Responsibilities

  • Build new capabilities and features in Posit’s product suite and drive those changes into customers’ hands.
  • Ship code changes that meaningfully improve the customer experience.
  • Participate in feature planning and provide feedback.
  • Plan features and drive their development.
  • Teach team members from existing expertise and newly learned material.
  • Learn from internal and external users and from how customers use Posit products.
  • Build new features for the product suite.

Desired Qualifications

  • Prior domain expertise with data science as a practice may be helpful.

About the Company

Posit

Open-source data science deployment and collaboration

Posit provides tools for data science teams to deploy and collaborate on open-source languages like R and Python. Its platform hosts and manages data science work—Shiny, Streamlit, Dash apps, Jupyter Notebooks, Quarto documents, reports, dashboards, models, and APIs—with upload, storage, access, and secure sharing. It differentiates itself by offering enterprise-grade deployment, collaboration, and security for open-source data science at scale across both R and Python. Its goal is to help organizations adopt and derive value from open-source data science at scale by simplifying deployment, collaboration, and governance of data science work.

Company size
201-500
Company stage
Late Stage VC
Total funding
$161M
Headquarters
Boston, MA
Founded
2009

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