Product Manager - Cortex Code Enablement

Location

US-CA-Menlo Park

Employment Type

Full time

Department

Product Management

Compensation

$160K – $230K

OverviewApplication 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 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, 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:

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
Building shipping or maintaining AI-powered applications.
Strong technical foundation with the ability to understand explain:
How LLMs work at a high level (prompting tokenization grounding evaluation)
Common AI patterns like RAG tools/agents function calling
Data 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 storytelling skills:
Able to translate complex AI data concepts into clear documentation diagrams examples
Comfortable presenting in workshops hackathons community events.
Bias for action ownership – you enjoy starting from a blank page structuring ambiguous problems iterating quickly based on feedback data.
Strong collaboration skills with experience working across engineering design PM go‑to‑market teams (from school projects internships prior roles).

NICE TO HAVE:

Prior experience as software engineer data engineer ML/AI engineer (internships co‑ops substantial personal projects).
Experience with:
Snowflake or other cloud data platforms or similar data workflow tools
Building internal tools bots plugins that integrate LLMs with existing systems.
Contributions to open-source projects technical blogs developer communities (meetups Discord/Slack communities forums etc.).
Experience organizing hackathons meetups student clubs focused on AI data developer tools.

WHY JOIN THE CORTEX CODE TEAM:

Shape how AI agents will change the way data engineering teams build in Snowflake.
Work on high‑impact visible experiences that reach millions of developers data practitioners.
Learn from experienced PMs engineers AI practitioners while owning meaningful product areas from day one.
Be part of culture that values thoughtful craftsmanship velocity customer‑obsession.

If you are excited about building future of AI‑powered development love enabling others through content tools community we’d love hear from you. Snowflake is growing fast scaling our team help enable accelerate growth. We are looking for people who share our values challenge ordinary thinking push pace innovation while building future themselves Snowflake. How do you want make your impact? For jobs located in United States please visit job posting on Snowflake Careers Site for salary benefits information: careers.snowflake.com Compensation Range: $160K - $230K