Developer Advocate - Cortex Code Enablement at Snowflake · Menlo Park

Summary: Snowflake is a company focused on mobilizing the world’s data, and they are seeking a Developer Advocate for Cortex Code Enablement. The role involves creating documentation and guides, running events, and collaborating with teams to drive the adoption of AI-powered development experiences. Responsibilities: - Own the Cortex Code enablement experience end-to-end, from onboarding content and quickstarts to advanced how‑to guides and best practices for data engineers, analysts, and developers - Define and maintain documentation, tutorials, and samples for Cortex Code, including: - Product overviews and conceptual docs - Step‑by‑step guides and walkthroughs - Code examples and reference projects - “How we built this” patterns for data and AI workflows - Design, launch, and run hackathons, workshops, and events (internal and customer-facing) that showcase Cortex Code capabilities and drive meaningful adoption - Create and curate Agent Skills for Cortex Code, working closely with engineering, Product Managers, and solution architects/engineers to: - Identify high‑value use cases and workflows - Design skill specifications and behaviors - Iterate based on usage data, evaluation results, and user feedback - Collaborate with GTM and field teams (sales, SEs, partners, marketing) to build collateral and enablement: - Battlecards, demos, and solution briefs - Customer-ready decks and walkthroughs - Playbooks for common patterns (e.g., dbt, Airflow, data quality, governance) - Represent the voice of AI‑native builders by synthesizing feedback from customers, community, and internal users into prioritized product and skills roadmaps - Measure impact of enablement assets and events using adoption, engagement, and performance metrics; use these insights to continuously refine content, skills, and programs Required Qualifications: - 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 - Demonstrated product mindset through internships, projects, or leadership in: Developer tools, data platforms, or productivity products, and/or Building, shipping, or maintaining AI-powered applications - Strong technical foundation with the ability to understand and explain: How LLMs work at a high level (prompting, tokenization, grounding, evaluation), Common AI patterns like RAG, tools/agents, and function calling, Data and analytics workflows (SQL, ELT/ETL, dbt, orchestration tools like Airflow) - AI‑native experience, such as: Building projects using LLM APIs (e.g., OpenAI, Anthropic, Snowflake Cortex, OSS models), Designing prompts, tools/skills, or agents to solve real‑world problems, Experimenting with model evaluation, safety/guardrails, or latency/cost tradeoffs - Excellent communication and storytelling skills: Able to translate complex AI and data concepts into clear documentation, diagrams, and examples, Comfortable presenting in workshops, hackathons, and community events - Bias for action and ownership – you enjoy starting from a blank page, structuring ambiguous problems, and iterating quickly based on feedback and data - Strong collaboration skills, with experience working across engineering, design, PM, and go‑to‑market teams (from school projects, internships, or prior roles) Preferred Qualifications: - Prior experience as a software engineer, data engineer, or ML/AI engineer (internships, co‑ops, or substantial personal projects) - Experience with: Snowflake or other cloud data platforms or or similar data workflow tools, Building internal tools, bots, or plugins that integrate LLMs with existing systems - Contributions to open-source projects, technical blogs, or developer communities (meetups, Discord/Slack communities, forums, etc.) - Experience organizing hackathons, meetups, or student clubs focused on AI, data, or developer tools Required Skills: Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), Function Calling, SQL, ELT/ETL, dbt, Apache Airflow, LLM APIs OpenAI, LLM APIs Anthropic, LLM APIs Snowflake Cortex, AI Model Evaluation, AI Safety and Guardrails, Cloud Data Platforms Benefits: Eligible to participate in Snowflake’s bonus and equity plan, Competitive benefits package that includes: medical, dental, vision, life, and disability insurance, 401(k) retirement plan, Flexible spending & health savings account, At least 12 paid holidays, Paid time off, Parental leave, Employee assistance program, Other company benefits