Jobs / United States / Snowflake INC

Snowflake INC

Product Marketing, AI-Powered Data Engineering Intern (Spring 2027)

US-CA-Menlo Park Posted today

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 428 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Snowflake INC paid sponsored hires in similar roles4 certified filings for “Director, Enterprise Data Engineering” (Architectural and Engineering Managers) in CA: $219k–$283k, median $234k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 428 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Snowflake INC paid sponsored hires in similar roles
4 certified filings for “Director, Enterprise Data Engineering” (Architectural and Engineering Managers) in CA: $219k–$283k, median $234k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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. PRODUCT MARKETING, AI-POWERED DATA ENGINEERING INTERN Location: Menlo Park, California, United States 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 they put that data to work for AI. Our Data Engineering team builds the pipelines, platforms, and AI-driven solutions that power how Snowflake goes to market, from customer intelligence and launch readiness to the stories that bring our impact to life. We sit at the intersection of engineering, go-to-market strategy, and customer storytelling. As an intern on this team, you'll build and scale the data infrastructure behind some of Snowflake's most critical go-to-market initiatives including AI-powered workflows, product launch trust and readiness, and the customer reference programs that ground our narrative in real-world outcomes. You’ll partner directly with Product, Sales, Customer Marketing, and Demand Generation to turn raw data into compelling, trustworthy customer stories and actionable launch insights. You’ll get a front-row seat to how data engineering drives strategic impact at one of the fastest-moving companies in AI. WHAT YOU’LL DO: - Build end-to-end customer evidence including sourcing, developing, and packaging customer stories and references that showcase the full data engineering platform - Support key product launch planning and Summit readiness for upcoming data engineering priorities - Help activate the field and develop practical assets sales teams can use - Partner closely with Product, Engineering, Sales, Developer Relations, and Demand Generation - Present your work to senior leaders WHAT WE EXPECT : - Currently pursuing an Master/MBA (or equivalent graduate degree) - Availability to intern 40 hours per week (12 week internship) with start dates 1/4 or 1/19. - 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 - Comfortable with ambiguity and fast-moving priorities WHAT YOU WILL LEARN / GAIN : - Real ownership on live go-to-market initiatives - Exposure to the full GTM machine at a leading AI company including product, sales, engineering, analyst relations, content, demand gen, and more - A crash course in data + AI, the market everyone is tryin

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