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Menlo Park, California, United States
Hybrid
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'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.
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.
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 APIs.
Excellent written and verbal communication, with the ability to explain technical concepts through clear narratives, examples, and presentations.
Comfort presenting and facilitating technical sessions for groups with different levels of experience.
A bias for action and ownership: you can structure ambiguous problems, learn quickly, seek feedback, and iterate.
Strong collaboration skills and experience working across technical and non-technical teams through school, internships, community work, or prior roles.
Internship, co-op, or project experience as a software, data, ML/AI, or solutions engineer.
Experience with Snowflake or another cloud data platform.
Understanding of data and analytics workflows such as SQL, ELT/ETL, notebooks, dbt, data science, or application development.
Contributions to open-source projects, technical blogs, documentation, videos, or developer communities.
Experience organizing hackathons, meetups, workshops, student clubs, or other technical community programs.
Experience measuring content, community, or product adoption using quantitative and qualitative signals.
Help shape how developers and data teams build with AI at a strategic moment for Snowflake.
Create high-impact developer experiences used by customers and practitioners around the world.
Learn from experienced advocates, product managers, engineers, and AI practitioners while owning meaningful work from day one.
Be part of a culture that values thoughtful craftsmanship, velocity, collaboration, and customer obsession.
If you are excited about AI, data, developer tools, and helping other builders succeed, we'd love to hear from you.
Our Human Resources Department may use artificial intelligence to support its administrative processes.
This role is available and may represent a new position.
This role is exempt from Ontario’s job posting requirements.
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