Product Manager - Cortex Code Enablement

Product Manager - Cortex Code Enablement Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake’s mission is to mobilize the world’s data. With Cortex Code, we are building AI-powered development experiences that help data and engineering teams design, build, and operate modern data applications faster than ever before. We are looking for a new grad Product Manager who is passionate about AI, developer experiences, and education to help make Cortex Code the most effective AI coding agent for data teams. As a Product Manager, Cortex Code Enablement – New Grad, you will focus on enablement and adoption: creating world-class documentation, guides, and examples; running hackathons and events; and designing Agent Skills and other artifacts that help customers get real value from Cortex Code. 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, PMs, and solution architects 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. OUR IDEAL PRODUCT MANAGER WILL HAVE: - Recently completed or nearing 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 collab ... (truncated, view full listing at source)