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Snorkel AI

Product Manager — Summer Intern

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About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

Role Overview

As a Product Manager Intern, you will work closely with Snorkel AI’s Product, Engineering, Research, and Go-To-Market teams to help shape the future of our AI platform. This role is designed for MBA students with a strong technical foundation who are excited to operate at the intersection of AI, product strategy, and customer impact.

You will own a well-scoped product initiative from discovery through execution, gaining hands-on experience in defining product requirements, prioritizing features, and delivering customer value in a fast-paced AI startup environment.

What You’ll Do
  • Partner with senior Product Managers to define product vision, strategy, and roadmap for key areas of the Snorkel AI platform
  • Conduct user and customer research to identify pain points, workflows, and unmet needs
  • Translate customer and business needs into clear product requirements, PRDs, and success metrics
  • Collaborate with engineering and research teams to scope, prioritize, and deliver product features
  • Analyze product usage data and customer feedback to inform product decisions
  • Support go-to-market efforts by contributing to product positioning, launch plans, and enablement materials
  • Present findings, recommendations, and outcomes to product leadership and cross-functional stakeholders
What We’re Looking For
  • Currently enrolled in an MBA program, returning to school after the internship
  • Technical undergraduate degree (e.g., Computer Science, Engineering, Mathematics, Physics, or similar)
  • Strong interest in AI/ML products, developer tools, or enterprise software
  • Ability to understand and communicate technical concepts to both technical and non-technical audiences
  • Structured problem-solving skills with a data-driven mindset
  • Excellent written and verbal communication skills
  • Demonstrated leadership, ownership, and ability to thrive in ambiguity
Nice to Have
  • Prior experience in product management, software engineering, data science, or consulting
  • Familiarity with machine learning concepts, data pipelines, or MLOps
  • Experience working with enterprise customers or B2B SaaS products
  • Passion for building tools that empower technical users
What You’ll Gain
  • Hands-on product management experience at a leading AI company
  • Exposure to cutting-edge data-centric AI technology
  • Mentorship from experienced Product Managers and leaders
  • Opportunity to make a real impact on a production AI platform
  • Potential consideration for a full-time Product Manager role after graduation

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

HQ

Snorkel AI Redwood, California, USA Office

55 Perry Street, Redwood, CA, United States, 94063

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

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