Summer 2026
Posit Intern
Posted on 3/21/2026
Posit
201-500 employees
Open-source data science deployment platform
Compensation Overview
$30/hr
Remote in USA
Remote
 Software Engineering (1) |
|---|
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- Strong coding skills in R or Python with a demonstrated focus on data-related work
- Comfortable with Git and GitHub
- Existing valid GitHub account required to apply
- Applicants must be residents of the United States and legally authorized to work in the United States
- Application must include links to one or more of the following: a package, a dashboard or web application, a data analysis repository, or other relevant software
- PyData Team intern will identify tasks users perform with our tools such as Plotnine and Great Tables, translate them into clear skill definitions that agents can use, and build evaluations that measure whether agents can reliably complete those tasks; write prompts; create example workflows; develop automated tests that measure how well agents perform; apply the emerging skills format; improve documentation, examples, and API design across the PyData ecosystem to better support AI-assisted workflows
Posit builds data science platforms for deploying and sharing R and Python applications within organizations. Its flagship cloud platform, Posit Connect, lets teams upload, store, access, and securely share data science apps and dashboards across the enterprise to support data-driven decisions. The company emphasizes open-source collaboration and community engagement through events like posit::conf, while providing enterprise-grade security and collaboration features. Its goal is to empower data scientists and professionals with secure, scalable, and shareable tools that democratize access to insights and improve decision-making outcomes.
Company Size
201-500
Company Stage
N/A
Total Funding
$170M
Headquarters
Boston, Massachusetts
Founded
2009
Get referred to Posit
See people who can refer or advise you
Simplify's Take
What believers are saying
- June 2026 Snowflake awards validate product-market fit and enterprise credibility.
- Posit Assistant and Connect GA inside Snowflake expand distribution through the marketplace.
- July 2026 MCP, Databricks, and security features deepen enterprise lock-in across data platforms.
What critics are saying
- Snowflake can commoditize Posit’s moat by bundling similar native data-science workflows directly.
- Posit’s 2024 Yihui Xie layoff signaled ecosystem dependence on fewer core maintainers.
- If Snowflake prefers native AI tooling, Posit becomes a replaceable layer by 2027.
What makes Posit unique
- Posit is the only Premier Snowflake partner shipping native R and Python inside Snowflake.
- Connect, Workbench, and Package Manager form a code-first stack for development, deployment, and governance.
- Open-source roots plus enterprise controls keep Posit sticky with regulated analytics teams.
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Benefits
Health Insurance
Mental Health Support
Parental Leave
401(k) Retirement Plan
401(k) Company Match
Profit Sharing
Paid Vacation
Phone/Internet Stipend
Growth & Insights and Company News
6 month growth
↑ 5%1 year growth
↑ 5%2 year growth
↑ 5%MCP Servers on Connect: Managing credentials and access. 2026-07-22 In Part 1, Posit covered what the Model Context Protocol (MCP) is, how Posit is using it at Posit, and how to deploy an MCP server to return the weather for a specific location using latitude and longitude data. It's a useful example of how they work, but the MCP servers your team wants to use have access to your data warehouse, internal APIs, or other resources. Building those comes with real questions about credentials and access that its weather example didn't address. This post walks through building an MCP server that queries your Databricks Unity Catalog and how Connect handles the authentication of users so you don't have to build it yourself. Although this example uses Databricks, Connect supports a wide range of third-party integrations such as Snowflake, Azure, AWS, Google Vertex, and others. Building with IT and security in mind. Posit added features to Connect to support its internal MCP servers based on feedback from its IT and security teams regarding credential flows, access controls, and governance. If you're thinking about deploying an MCP server, here are some of the things that Posit discussed that may be relevant for your discussions with your security teams. Authentication. You need to prove who is making each request. A public weather API doesn't need to know who you are, but your data warehouse does. Per-User Access. Depending on your use case, different users should see different data based on their permissions. A shared service account might work for some situations, but it can be an overly permissive access pattern. Credential Management. The MCP server needs to connect to internal data, meaning user credentials are involved. Your security team doesn't want those hardcoded in your code or sitting in a plain-text configuration file for each user. Connect makes it easy to deploy MCP servers by providing user authentication and access controls that are easy to establish and maintain. Posit already have the above governance and controls built into Connect. Building a Databricks MCP Server. Here's an MCP server that lets an AI client query the NYC taxi trip data on Databricks with a SQL warehouse. This should look similar to its weather MCP. Posit use FastMCP as the framework, a @mcp.tool decorator, and Python functions. Note Posit set two environment variables for the Databricks server hostname (DATABRICKS_HOST) and the HTTP Path (DATABRICKS_PATH). These are accessible in your Databricks workspace under the connection details for SQL warehouses. # server.py import os from urllib.parse import urlparse from fastmcp import FastMCP from fastmcp.server.dependencies import get_http_headers from starlette.middleware.trustedhost import TrustedHostMiddleware from databricks import sql from posit.connect.external.databricks import (ConnectStrategy, databricks_config, sql_credentials,) DATABRICKS_HOST = os.getenv("DATABRICKS_HOST", "") DATABRICKS_SERVER_HOSTNAME = DATABRICKS_HOST.replace("https://", "") SQL_HTTP_PATH = os.environ["DATABRICKS_PATH"] mcp = FastMCP( name="Databricks Trips MCP Server", instructions=( "MCP server that exposes NYC taxi trip data from a Databricks SQL " "warehouse. Use the query_trips tool to fetch sample rows."),) @mcp.tool def query_trips(limit: int = 10) -> str: """Query NYC taxi trip data from Databricks.""" session_token = get_http_headers.get("posit-connect-user-session-token") cfg = databricks_config( posit_connect_strategy=ConnectStrategy(user_session_token=session_token),) with sql.connect( server_hostname=DATABRICKS_SERVER_HOSTNAME, http_path=SQL_HTTP_PATH, credentials_provider=sql_credentials(cfg),) as connection: with connection.cursor as cursor: cursor.execute(f"SELECT * FROM samples.nyctaxi.trips LIMIT {int(limit)}") rows = cursor.fetchall columns = [col[0] for col in cursor.description] lines = ["".join(columns)] for row in rows: lines.append("".join(str(v) for v in row)) return "\n".join(lines) app = mcp.http_app(path="/mcp", stateless_http=True, json_response=True) if connect_server := os.environ.get("CONNECT_SERVER", ""): host = (urlparse(connect_server).netloc or connect_server).rstrip("/") if host: app.add_middleware(TrustedHostMiddleware, allowed_hosts=[host]) Let's walk through how Posit manage credentials in this example. get_http_headers retrieves a session token that tells Connect which user is making the request. When someone uses their AI client to call this server, Connect passes along a token that identifies them. ConnectStrategy and sql_credentialscome from its posit-sdk package. They are helper functions Posit has built to support using its integrations with Databricks, so you can safely pass per-user credentials to Databricks. This means you write the query logic and Connect handles the authentication and credential plumbing with the integrations already configured on your server. Connect doesn't store a long-lived user credential, which is something your security team will appreciate. How connect manages credentials. It's worth a deeper dive on how the credential flow works, because this is the part that matters most when you're moving from running MCP servers locally to a hosted, production use case. Connect includes an OAuth 2.1 authorization server. OAuth 2.1 is a security standard that is part of the MCP specification, which allows third-party applications to authenticate users on their behalf. So when a Connect user wants their AI client to authenticate with Connect, they do so through a standard browser-based login. There are no API keys stored on a user's local machine, and it's a well-vetted pattern that will be familiar to your security team. For development or testing purposes, you can use API keys if you have them enabled. When the MCP server on Connect needs to query Databricks, you can use Connect's built-in viewer integrations to handle that credential exchange. Connect requests a scoped token from Databricks on behalf of that specific user. User A and User B can call the same MCP server and get different results because the data they see is determined by their own Databricks permissions, not a shared service account. Governance is part of Connect. Access controls for MCP servers work just like any other API or content item. You can control who can manage and access each MCP server. Connect logs which user, via their MCP client, accessed each MCP server. Administrators can view, register, and remove connected clients in the System page. When thinking about governance in Connect, here are some common questions. How do users authenticate? Through Connect's OAuth 2.1 server, a standard browser-based flow. No API keys in config files, no credentials on user machines. Where do the database credentials live? A key advantage of MCP servers in this case is that your AI client never sees, let alone stores, the credentials. Connect brokers them on a per user basis through viewer integrations. Credentials are hidden from the MCP server and even publishers that configure the integrations. Who controls access? Publishers decide who can see and use each MCP server. Administrators can manage what integrations are available to publishers. Connect integrates with your Identity Provider so existing groups can be centrally managed, with support for the System for Cross-domain Identity Management (SCIM). Is there an audit trail? Yes. Connect provides usage data that lets you see who used your MCP server and when. Administrators can use the audit logs that capture changes to the system such as deploying a new server, creating an integration, or granting access to a server. And since Connect's integrations can capture per-user credentials instead of a shared account, the queries appear in Databricks (and other providers) under each user's own identity in their internal logs. Importantly, none of this is specific to MCP servers. This data is available for every application and document on Connect. What's next? This is part of an ongoing series on hosting MCP servers on Connect, and Posit'll keep it going in future posts as Posit continue building out MCP support. Matt Leary. Product Manager, Posit Matt Leary is currently a product manager for Posit Connect. Prior to Posit, he worked as a data scientist and AI product owner at a specialty insurance carrier.
Posit named "One to Watch" in Snowflake's 2026 Modern Marketing Data Stack report. 2026-06-22 Most industry recognition comes from analysts, award committees, or vendor self-reporting. Snowflake's Modern Marketing Data Stack report works differently. It's built from anonymized usage data across more than 11,500 Snowflake customers. No nominations, no opinion panels. Just what teams are actually running. For the second consecutive year, that data named Posit a "One to Watch" in the AI/ML Development and Deployment category. Why did Posit receive this award? Posit offers the Posit Team Native App on Snowflake, which installs directly from the Snowflake Marketplace and runs Posit Workbench, Connect, and Package Manager as a native application inside the customer's own Snowflake account. Data scientists write R and Python in RStudio, JupyterLab, VS Code, or Positron - against Snowflake-governed data, without ever copying it out. That distinction is what Snowflake customers are responding to. Joint customers cite three benefits, consistent with the rationale Snowflake gave for Posit's 2026 recognition: * Faster development. Prototyping, deployment and feedback happen in a single environment, reducing handoffs between data science and engineering. * Centralized governance. Sensitive data stays inside Snowflake, eliminating ad-hoc data extracts and reducing audit surface area. * Lower total cost. Compute is managed inside Snowflake rather than across parallel data science infrastructure. The results show up in how customers talk about it. The NMDP uses Posit Connect with its Snowflake warehouse to score a registry of 42 million potential donors, accelerating matches for patients with blood cancers. Pinterest's People Analytics team runs statistical modeling on workforce data through Posit Workbench connected to Snowflake - without downloading any personally identifiable information. Brilliant Earth replaced manual weekly reporting with automated, AI-driven processes built on Posit Connect alongside Anthropic and Cortex models. "The Posit and Snowflake infrastructure lets Brilliant Earth and other joint customers move at the speed the business requires, with every insight governed and reproducible. They can create deployment pipelines from AI prototype to production data product in hours, not weeks." Two years of one to Watch awards for AI/ML. A single mention in a usage-based report could be noise. A second consecutive year in the same category is a signal. It means the pattern Snowflake observed in 2025 - data science teams running R and Python inside the AI Data Cloud - deepened in 2026. Snowflake CMO Denise Persson framed it directly: "a partner like Posit appearing again signals that R and Python data science inside the AI Data Cloud has moved from emerging pattern to standard practice for the teams shipping AI-driven marketing." The 2026 edition of the report also broadens its lens to capture how AI, data gravity, and privacy are reshaping how marketing technology decisions get made - all forces that favor keeping data centralized rather than spread across parallel infrastructure. The Posit Native App on Snowflake is available now through the Snowflake Marketplace. Posit and Snowflake customers can request an expert conversation here. What's next. About posit. Posit, PBC (formerly RStudio) creates software that helps individuals, teams, and organizations make better decisions with data. Posit believe the best analyses are correct, transparent, and reproducible, and that humans and AI work best together. Posit's products, including Workbench, Connect, and Package Manager, power data science teams at thousands of organizations worldwide, from startups to the Fortune 500. Learn more at posit.co. About snowflake. Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,300 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). Frequently asked questions. Q: What is Snowflake's Modern Marketing Data Stack report? A: The Modern Marketing Data Stack is Snowflake's annual report analyzing marketing technology adoption across its customer base. The 2026 edition is built from anonymized usage data across more than 11,500 Snowflake customers and names "Leaders" and "Ones to Watch" across 13 marketing technology categories. Q: Why was Posit named "One to Watch" in 2026? A: Posit was recognized in the AI/ML Development and Deployment category because Snowflake customers are using the Posit Native App on Snowflake to build, deploy, and govern R and Python data science work inside the AI Data Cloud - including marketing use cases like customer segmentation, attribution, and lifetime-value modeling. Q: What does the Posit Native App on Snowflake do? A: The Posit Native App on Snowflake runs Posit Workbench, Connect, and Package Manager as a Snowflake Native Application inside the customer's own Snowflake account. Data scientists work in R and Python through RStudio, JupyterLab, VS Code, or Positron against Snowflake-governed data, without copying data out of the AI Data Cloud. Q: Is this Posit's first time in the Snowflake report? A: No. Posit was also named "One to Watch" in the same AI/ML Development and Deployment category in Snowflake's 2025 Modern Marketing Data Stack report. The 2026 recognition is the second consecutive year. Q: How do customers access the Posit Native App on Snowflake? A: The Posit Native App on Snowflake is available through the Snowflake Marketplace and installs directly into the customer's Snowflake account, running on Snowflake-managed compute under existing governance policies. Denise martinez. Senior Product Marketing Manager Denise is a Senior Product Marketing Manager at Posit, and based in San Francisco.
Posit wins two Snowflake Partner Awards and launches Posit Assistant at Snowflake Summit 2026. 2026-06-05 Posit won two Snowflake Partner of the Year Awards at Snowflake Summit 2026 in San Francisco on June 2, 2026: Global Product Innovation Partner of the Year and AI/ML Data Science Tooling Partner of the Year. Posit also launched Posit Assistant, an AI agent for data scientists that works entirely within the Snowflake AI Data Cloud. Posit is Snowflake's only Premier Partner delivering a fully native R and Python data science platform, enabling enterprise teams to ship reproducible, governed AI workflows without data ever leaving Snowflake's security boundary. At Snowflake Summit 2026 in San Francisco, Posit heard one theme again and again from the data scientists, engineers, and IT leaders Posit spoke with: they're under pressure to move faster with AI, without sacrificing the trust, reproducibility, and governance their organizations require. That's exactly what the Posit and Snowflake partnership is built to solve. Posit exists to help joint customers do AI-powered data science they can actually stand behind. Read on for a recap of its inspired experiences with customers at Summit. Snowflake Summit 2026 opening keynote and vision. Snowflake Summit opened with CEO Sridhar Ramaswamy outlining Snowflake's vision for helping organizations turn AI's promise into measurable business impact. Joined by leaders from companies including Accenture and Anthropic, the keynote explored how organizations are moving beyond AI experimentation and toward enterprise-wide adoption built on trusted data, governance, and interoperability. Snowflake CEO Sridhar Ramaswamy and Anthropic co-founder Daniela Amodei During the keynote discussion, Anthropic co-founder Daniela Amodei reflected on the unprecedented pace of change facing organizations today. While AI capabilities continue to advance rapidly, she emphasized the importance of maintaining a strong culture of trust and responsibility. Her comments also underscored the need for empathy, recognizing that customers, teams, and leaders are all navigating significant change. The message reinforced a theme that carried throughout the Summit: successful AI adoption isn't just about technology. For Posit customers, it means having a platform that augments your judgment rather than replacing it, and workflows that you can explain, reproduce, and audit. Alongside Snowflake, Posit provide data science tools with the peace of mind that your organization's work is securely in Snowflake, a benefit which Christian Kleinerman, Executive Vice President of Product at Snowflake, also emphatically communicated in his keynote. Christian Kleinerman, Executive Vice President of Product at Snowflake What two Partner of the Year Awards mean for joint customers. Snowflake Summit 2026 brought a milestone worth celebrating: Posit won two 2026 Snowflake Partner Awards: the Global Product Innovation Partner of the Year and the Product Partner of the Year for AI/ML Data Science Tooling. Posit is the first and only partner to deliver a fully native R and Python data science platform inside the Snowflake AI Data Cloud, spanning development, deployment, and governance, without data ever leaving the security boundary. But what matters more than the recognition is what it reflects: joint customers are shipping real, quality work with Posit products. "These awards are a testament to what our teams have built together," said Adam Smith, VP of Alliances at Posit. "Open-source data science produces more trustworthy, reproducible results, and by embedding that capability directly into the Snowflake AI Data Cloud, we're helping joint customers go from raw data to production AI-powered data products faster than ever before." The recognition reflects the real-world impact joint customers are seeing. The National Marrow Donor Program uses Posit Connect and Snowflake to score a registry of 42 million donors at scale, offloading computationally intensive workloads to Snowflake while keeping data accurate and up to date in real time. Pinterest uses Posit Workbench and Snowflake to analyze over 30,000 employee comments securely. The Posit team proudly accepts two Snowflake Partner awards What trusted AI-powered data science looks like in practice, for you. Trust was a recurring theme throughout Snowflake Summit, and Posit's Chetan Thapar brought that theme to life in his session, AI-Powered R and Python Data Science You Can Actually Trust. "The agent isn't providing answers. It's suggesting. You are deciding," shared Chetan during his demo of the Posit Team Native App, showing how Posit Assistant, powered by Snowflake Cortex LLMs, can accelerate data science workflows while keeping humans in control. Combined with reproducible, code-backed analysis and Snowflake governance, the Posit Team Native App delivers a secure, governed approach to end-to-end AI-driven data science that enterprise organizations can trust. Chetan presents "AI-Powered R & Python Data Science You Can Actually Trust." Missed the session? Reference these resources: Thank you for joining Posit. Posit enjoyed meeting so many of its professional and open-source customers at the booth and in its session. Congrats to all its raffle prize winners, and thank you for stopping by to see Posit! Its JBL speaker prize winner! Ready to talk data science with you! Snuggling its polar partner, the Snowflake Cortex bear Now available to you: Posit Assistant offers AI assistance with Snowflake Cortex. The biggest product news Posit brought to Summit: data scientists on Snowflake can now try Posit Assistant, a new AI agent in the Positron IDE that works within your Snowflake data perimeter, and even within the Posit Team Native App. Learn more about its latest release. Posit Connect is also now generally available in the Posit Team Native App on the Snowflake Marketplace. Data science teams can now publish Shiny applications, Jupyter notebooks, Quarto documents, Plumber APIs, Streamlit apps, and more, all inside the Snowflake Data Cloud, with no separate infrastructure required. Alongside Connect's GA, Posit Package Manager has entered Public Preview in the same native app. It gives IT and data science teams a governed, Snowflake-native repository for open-source R and Python packages, with vulnerability reporting from the OSV database, pre-built Linux binaries, date-based snapshots for reproducible environments, and an MCP server for AI-assisted workflows. In short: your open-source stack, secured and governed inside Snowflake. All Posit connected apps and native apps are available today from the Snowflake Marketplace, where teams can start a free 30-day trial. What's next. Whether or not you made it to Summit, everything is available to explore now: Recap: the Posit & Snowflake partnership. About Posit Posit, PBC (formerly RStudio) creates software that helps individuals, teams, and organizations make better decisions with data. Posit believe the best analyses are correct, transparent, and reproducible, and that humans and AI work best together. Posit's products, including Workbench, Connect, and Package Manager, power data science teams at thousands of organizations worldwide, from startups to the Fortune 500. Learn more at posit.co. About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,300 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). What awards did Posit win at Snowflake Summit 2026? Posit won two 2026 Snowflake Partner Awards: the Global Product Innovation Partner of the Year and the Product Partner of the Year for AI/ML Data Science Tooling. Both were presented at Snowflake Summit 2026 in San Francisco on June 2, 2026. Is Posit Connect available on the Snowflake Marketplace? Yes. Posit Connect is now generally available in the Posit Team Native App on the Snowflake Marketplace. Data science teams can publish Shiny applications, Jupyter notebooks, Quarto documents, Plumber APIs, and Streamlit apps inside the Snowflake Data Cloud with no separate infrastructure required. What is the Posit Team Native App for Snowflake? The Posit Team Native App is a governed, code-first data science platform that runs natively inside the Snowflake AI Data Cloud via Snowpark Container Services. It includes Posit Workbench for development, Posit Connect for deployment, and Posit Package Manager for open-source package governance, all without data leaving Snowflake's security boundary. What is Posit's partnership status with Snowflake? Posit is a Premier Partner in the Snowflake Partner Network, the highest tier of the Snowflake partner ecosystem. Posit is also the only partner to offer a fully native end-to-end R and Python data science platform inside the Snowflake AI Data Cloud. What did Chetan Thapar present at Snowflake Summit 2026? Chetan Thapar, Senior Product Manager at Posit, led a theater session on June 3 titled "AI-Powered R & Python Data Science You Can Actually Trust." The session demonstrated how the Posit Team Native App brings AI-assisted, reproducible data science workflows directly into Snowflake, including the only managed R runtime on the platform. Denise martinez. Senior Product Marketing Manager Denise is a Senior Product Marketing Manager at Posit, and based in San Francisco.
Posit wins two Snowflake Partner of the Year awards for Data Science. Jun 02, 2026, 15:00 ET Recognized for AI/ML innovation and product excellence, Posit is the only partner delivering a fully native R and Python platform inside the Snowflake AI Data Cloud SAN FRANCISCO, June 2, 2026 /PRNewswire-PRWeb/ - Posit, PBC (posit.co), an open source data science company, has won two 2026 Snowflake Partner Awards at Snowflake Summit 2026: Global Product Innovation Partner of the Year and the Product Partner of the Year for AI/ML Data Science Tooling. The awards recognize Posit as the only technology partner offering an end-to-end R and Python data science platform - spanning development, deployment, and governance - that runs natively inside the Snowflake AI Data Cloud without data ever leaving the security boundary. Posit was recognized for its achievements as part of the Snowflake AI Data Cloud and together, the two awards recognize Posit's delivery of a fully native, end-to-end R and Python data science platform within Snowflake's framework (spanning development, deployment, and governance) Proven Customer Impact Across Industries Joint Posit and Snowflake customers span high-tech and regulated industries, including healthcare, financial services, public sector agencies, and more. * The National Marrow Donor Program (NMDP) leverages the Posit Connect and Snowflake integration to score its registry of 42 million donors at scale, offloading computationally intensive workloads to Snowflake while keeping data accurate and up to date in real time. * Pinterest uses Posit Workbench and Snowflake to analyze over 30,000 employee comments securely, giving their people analytics team a governed, reproducible workflow that scales without moving sensitive data outside Snowflake's perimeter. "These awards are a testament to what our teams have built together - a platform that lets data scientists do their best work in R and Python, natively inside Snowflake, with the security, governance, and scale that enterprises demand," said Adam Smith, VP of Alliances at Posit. "For our joint customers, that's not an incremental improvement, it's a fundamentally different way to operate." "Posit is a true product innovation partner," said Amy Kodl, SVP of Worldwide Alliances & Channels at Snowflake. "Our collaboration centers on a shared commitment to native, code-first data science. Integrating Posit Team within the Snowflake AI Data Cloud via Snowpark Container Services offers a deep integration, enabling R and Python developers to build and deploy models securely without data leaving our perimeter." Visit Posit at Snowflake Summit 26 Attendees can learn more about the Posit Team Native App and see live demos at the Posit booth (#2804) during Snowflake Summit 26, June 1-4, at Moscone Center in San Francisco. To explore the joint solution, visit posit.co/solutions/snowflake or find the Posit Team Native App on the Snowflake Marketplace. Frequently Asked Questions Q: What awards did Posit win at Snowflake Summit 2026? A: Posit won two awards: the 2026 Global Snowflake Product Innovation Partner of the Year and the 2026 Snowflake Product Partner of the Year for AI/ML Data Science Tooling. Both were presented at Snowflake Summit 26 in San Francisco on June 2, 2026. Q: What is the Posit Team Native App for Snowflake? A: The Posit Team Native App is an end-to-end R and Python data science platform that runs natively inside the Snowflake AI Data Cloud via Snowpark Container Services. It enables data scientists to develop, deploy, and govern models without data ever leaving Snowflake's security boundary. Q: How do Posit and Snowflake work together? A: Posit's products (Workbench, Connect, and Package Manager) integrate with Snowflake so data science teams can build and deploy R and Python models directly inside the Snowflake AI Data Cloud, eliminating data movement and reducing development-to-production cycle times. Q: Which companies use Posit and Snowflake together? A: Joint customers span healthcare, financial services, agriculture, and technology. The National Marrow Donor Program uses the integration to score 42 million donors at scale, and Pinterest uses it to analyze over 30,000 employee comments securely. Q: Where can I find the Posit Team Native App? A: The Posit Team Native App is available on the Snowflake Marketplace. You can also learn more at posit.co/solutions/snowflake. Check out keynotes from Snowflake Summit 26 live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and X. About Posit Posit, PBC (formerly RStudio) creates software that helps individuals, teams, and organizations make better decisions with data. Janwood Group, LLC believe the best analyses are correct, transparent, and reproducible, and that humans and AI work best together. Posit's products, including Workbench, Connect, and Package Manager, power data science teams at thousands of organizations worldwide, from startups to the Fortune 500. Learn more at posit.co Media Contact SOURCE Posit
Announcing the Gridware Cluster Scheduler Launcher plugin for Posit Workbench. 2026-06-02 Running Posit Workbench on Gridware Cluster Scheduler managed clusters. Posit is excited to announce a new Launcher plugin that brings Posit Workbench to Gridware Cluster Scheduler managed clusters. This plugin is the result of a collaboration between Posit's Solution Engineering organisation and HPC Gridware, the company behind both the open-source Open Cluster Scheduler and the commercial Gridware Cluster Scheduler. This plugin enables data science teams running Open Cluster Scheduler (formerly known as Sun Grid Engine) compatible environments - including GCS, UGE, and SoGE - to launch RStudio, Jupyter, VS Code, and Positron sessions directly onto their cluster, with full resource management handled by the scheduler. What does the plugin do? Posit Workbench uses a component called the Launcher to submit and manage interactive sessions and batch jobs on external compute infrastructure. The Gridware Cluster Scheduler Launcher plugin bridges Workbench and Gridware Cluster Scheduler, allowing users to start sessions on the cluster without leaving the familiar Workbench interface. Key capabilities include: * Job submission and lifecycle management - submit, monitor, suspend, resume, and terminate jobs on your Gridware Cluster Scheduler cluster, all from the Workbench UI. * Resource profiles - administrators can define named profiles (e.g., "Small", "Medium", "GPU") that map to specific CPU, memory, and GPU allocations, making it easy for users to pick the right resources without knowing scheduler syntax. * User and group resource limits - control who can access which resources. Profiles that exceed a user's limits are greyed out in the UI with a clear explanation. * GPU and parallel environment support - request GPUs and leverage parallel environments (SMP, MPI) for multi-core or distributed workloads. * Container support - run sessions inside Singularity/Apptainer containers for reproducible environments. * Automatic cluster resource detection - the plugin queries the cluster at startup to determine available resources, so slider limits in the UI reflect what your cluster actually offers. * Custom resource requirements - admins can add additional resource constraints. A collaboration between Posit and HPC Gridware. This plugin has been built by Posit's Solution Engineering team in collaboration with HPC Gridware. HPC Gridware offers two products: * Open Cluster Scheduler - an open-source workload scheduler for Linux clusters * Gridware Cluster Scheduler - a commercial, enterprise-grade scheduler with advanced features and support The plugin works with both products as well as legacy SGE-compatible environments. Current status and how to get involved. The Gridware Cluster Scheduler Launcher plugin is ready for testing. It is not currently part of the official Posit Workbench product distribution. This means it does not ship with Workbench and is not covered by Posit's standard support agreements at this time. Support for now is provided directly by the developers. Depending on customer interest and feedback, there is a clear path toward integrating this plugin into the official product - at which point it would receive full support from Posit's support organisation. Requirements. * A Posit Workbench Advanced license - this Launcher plugin requires an Advanced tier license. * A Gridware Cluster Scheduler managed cluster - an existing cluster running one of HPC Gridware's two schedulers, or any other SGE-compatible scheduler. For initial testing, a docker-compose environment is available to test this integration. More information is available upon request. Get in touch. If you are running Gridware Cluster Scheduler or an SGE-compatible scheduler and want to evaluate this plugin, or if you have questions about HPC integration with Posit Workbench, please reach out: * Michael Mayer - Principal Solution Engineer, Posit - [email protected] * Daniel Gruber - Founder and Chief Solutions Officer, HPC Gridware - [email protected] Posit look forward to hearing from you and learning how this plugin can serve your team's data science workflows on Gridware Cluster Scheduler infrastructure. Daniel Gruber. Co-Founder and Chief Solutions Officer, HPC Gridware Daniel Gruber is Co-Founder and Chief Solutions Officer at HPC Gridware, the company behind Open Cluster Scheduler and Gridware Cluster Scheduler. Holding B.Sc. and M.Sc. degrees in Information Engineering, he has spent his career building and consulting on workload scheduling and management solutions - starting on the Sun Grid Engine core development team, then working on Oracle Grid Engine, and the first versions of Univa Grid Engine, before serving as Platform Architect at Pivotal and Director of Architecture at UberCloud/SIMR. Michael Mayer. Solutions Engineer Michael Mayer is a Solutions Engineer at Posit. A scientist by training, he holds a PhD in theoretical astrophysics from the University of Heidelberg, Germany, then gradually went into IT to eventually become a specialist in high performance / scientific computing and a subject-matter expert for customers in the pharmaceutical industry.