Snowflake Logo

Snowflake

Product Marketing- Agentic Analytics Intern (Spring 2027)

Posted 3 Days Ago
Be an Early Applicant
In-Office
Menlo Park, CA, USA
40-47 Hourly
Internship
In-Office
Menlo Park, CA, USA
40-47 Hourly
Internship
Product Marketing Intern supporting Snowflake’s Agentic Analytics portfolio. Responsibilities include developing go-to-market strategy and positioning, translating technical capabilities into business messaging, conducting competitive and market research, creating sales enablement and launch materials, collaborating across Product, Engineering, Sales, Developer Relations, and Demand Gen, and presenting recommendations to senior leaders.
The summary above was generated by AI

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake started as the place companies go to understand their data. Now we're making it the place where AI agents put that data to work: investigating business questions, testing explanations and recommending what to do next, all within the rules people set. The Agentic Analytics Product Marketing team sits at the center of that shift, taking products like Cortex Agents, Cortex Analyst, semantic views and interactive warehouses to market.

As an Agentic Analytics intern on this team, you'll work directly with Product, Engineering, Sales, Developer Relations and Demand Gen to shape how the market understands and adopts Snowflake's answer to one of the most important questions in data and AI: how do you let agents do real analytical work that the business can trust? You'll get a front-row seat to how products are positioned and launched in the fastest-moving space in tech.

What You'll Do
  • Help develop go-to-market strategy and positioning for Snowflake's agentic analytics portfolio

  • Craft messaging that translates complex technical capabilities into clear business value

  • Conduct competitive research and market analysis that directly informs product and sales strategy

  • Build sales enablement assets, content briefs, and launch materials

  • Partner closely with Product, Engineering, Sales, Developer Relations, and Demand Gen

  • Present your work to senior leaders

What We're Looking For
  • Currently pursuing a Master's degree (or equivalent graduate degree)

  • Analytical and curious: You like digging into data, competitive landscapes, and customer problems

  • A strategic thinker who can zoom out on market dynamics and zoom in on crisp messaging

  • Familiarity with databases, semantic layers, cloud platforms, or developer ecosystems

  • Comfortable with ambiguity and fast-moving priorities

What You'll Get
  • Real ownership on live go-to-market initiatives

  • Exposure to the full GTM machine at a leading AI company, including product, sales, engineering, developer relations, content, demand gen, and more

  • A crash course in the Agentic Analytics and enterprise AI context, the market everyone is trying to understand right now

Nice-to-Haves
  • Prior experience in product marketing, product management, consulting, or technical roles

  • Coursework or experience in product strategy, go-to-market strategy, or data analytics

  • Excellent writer: You can distill complex ideas into clear, compelling narratives

  • Technically fluent: comfortable exploring BI tools and getting hands-on with data products to form your own point of view. You don't need to be an engineer, but you should be able to go deep enough to credibly compare technical capabilities.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Snowflake Dublin, California, USA Office

4140 Dublin Blvd., Dublin, CA, United States, 94568

Snowflake Menlo Park, California, USA Office

135 Constitution Dr, Menlo Park, CA, United States, 94025

Similar Jobs

11 Minutes Ago
Hybrid
181K-317K Annually
Senior level
181K-317K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead the DevOps practice for ServiceNow Otto, owning CI/CD, release automation, Kubernetes infrastructure, observability, reliability, and operational tooling across SaaS environments. Build infrastructure automation, GitOps workflows, and scalable cloud platforms while supporting AI and agentic services in production. Partner with scientists and engineers to improve deployment velocity, security, resilience, troubleshooting, and operational efficiency.
Top Skills: Agentic AiAnsibleArgocdBashCi/CdCursorDockerGenerative AiGithub ActionsGithub CopilotGitopsGoHelmInfrastructure As CodeJenkinsKubernetesKubernetes OperatorsLlmsModel InferencePythonRagTektonTerraformTool Calling
11 Minutes Ago
Hybrid
Santa Clara, CA, USA
201K-352K Annually
Senior level
201K-352K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, develop, and deploy large-scale Voice AI distributed systems across regions and datacenters. Build core voice platform capabilities, integrate APIs and self-hosted models, develop LLM-based applications and agents, and ensure scalable, reliable software. Partner with product managers and customers, improve SRE tooling, enforce engineering best practices, and mentor colleagues across Voice AI disciplines.
Top Skills: APIsClaude CodeCursorDevOpsGoJavaKubernetesLarge Language Models (Llms)PythonVoice AiWindsurf
11 Minutes Ago
Hybrid
159K-277K Annually
Senior level
159K-277K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, develop, and deploy scalable Voice AI platforms and distributed systems across regions and datacenters. Build LLM-based applications, voice agents, and integrations with AI models and APIs. Ensure high-quality engineering through architecture, testing, and code reviews; support SRE improvements; collaborate with product managers and customers; and mentor engineers across Voice AI disciplines.
Top Skills: Claude CodeCursorGoJavaKubernetesLarge Language Models (Llms)PythonVoice AiWindsurf

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account