Product Manager - Cortex Code Enablement

Snowflake•Menlo Park, CA

13h

About The Position

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.

Requirements

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 collaboration skills, with experience working across engineering, design, PM, and go‑to‑market teams (from school projects, internships, or prior roles).

Nice To Haves

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.

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.