Jobs / United States / Snowflake INC

Snowflake INC

Developer Advocate - AI & Developer Experiences

US-CA-Menlo Park; US-WA-Bellevue; CA-Ontario-Toronto Posted 1 month ago

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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 roles5 certified filings for “Senior Developer Advocate” (Market Research Analysts and Marketing Specialists) in CA: $159k–$173k, median $171k.
  • 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
5 certified filings for “Senior Developer Advocate” (Market Research Analysts and Marketing Specialists) in CA: $159k–$173k, median $171k. Most were filed at wage level IV (75%) — 4 lottery entries, ≈61% 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. ABOUT THE ROLE Snowflake's mission is to mobilize the world's data as the AI Data Cloud. Our AI and developer products help developers and data teams build, deploy, and operate modern data and AI applications. We're looking for an early-career Developer Advocate who is passionate about developer experience, AI, data, and education. You will help builders discover, adopt, and succeed with Snowflake's AI and developer portfolio by creating high-quality technical content, demos, workshops, and community programs. You will work closely with Product, Engineering, Marketing, Community, and field teams, while bringing developer feedback back into the product. AS A DEVELOPER ADVOCATE AT SNOWFLAKE, YOU WILL: - Create technical content and adoption assets: Build clear, accurate documentation, quickstarts, tutorials, code samples, demos, and reference applications for developers and data practitioners. - Turn complex AI, data, and application-development concepts into approachable, practical learning experiences. - Contribute reusable patterns, templates, and playbooks that help builders move from first use to production. - Support launches and developer programs: Help prepare priority AI and developer products for launch by testing developer journeys, identifying friction, and creating day-one enablement assets. - Design and deliver workshops, hackathons, talks, and hands-on labs for customers, partners, students, and developer communities. - Work with field and go-to-market teams on customer-ready demos, solution briefs, presentations, and technical walkthroughs. - Connect developers and product teams: Gather feedback from community, customers, field teams, support, documentation, and product usage, then synthesize it into clear developer insights. - Partner with Product and Engineering to improve onboarding, documentation, samples, APIs, tools, and the overall developer experience. - Use qualitative feedback and adoption metrics to evaluate your work and improve content and programs over time. - Represent Snowflake in the developer ecosystem: Participate authentically in developer, data, AI, and open-source communities through events, forums, technical content, and contributions. - Build relationships with practitioners, learn where they get stuck, and help them succeed with Snowflake and the broader ecosystem. - Share emerging developer needs, tools, and practices with internal teams. OUR IDEAL CANDIDATE HAS: - Completion of a Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science, Human-Computer Interaction, or a related technical field, or equivalent practical experience. - A strong technical foundation and experience building software products demonstrated through prior roles, internships, coursework, open-source contributions, or substantial personal projects. - Hands-on experience with developer tools, APIs, SDKs, CLI tools, source control, CI/CD etc. - Familiarity with modern AI development, including prompting, grounding, evaluation, RAG, agents, tool calling, or LLM

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