Product Manager – Metadata Platform
Product Manager drives execution of Snowflake's metadata platform roadmap, owning feature delivery from definition to launch. Focuses on performance, usability, and observability using data/AI analysis; ideal for early-career PMs with CS bachelor's and analytical skills.
Product Manager – Metadata Platform
Snowflake’s AI Data Cloud relies on accurate, performant metadata essential for customers to understand data, operate at scale, and build analytics/AI workloads. As Snowflake supports large, complex AI-driven environments, the metadata platform must evolve for better performance, context, and observability across governance, cost management, performance optimization, and AI insights.
In This Role, You Will
- Own end-to-end delivery of specific metadata platform features, from problem definition through launch and iteration
- Execute on the metadata roadmap, including improvements to metadata performance, accuracy, usability, and customer-facing observability
- Use data, metrics, and AI-assisted analysis to identify metadata gaps, prioritize work, and measure impact
- Partner closely with engineering teams to translate customer, business, and platform needs into clear product requirements and execution plans
- Develop product judgment around scale, performance, and usability tradeoffs in large distributed systems
- Coordinate with adjacent teams across storage, compute, security, and governance to ensure metadata capabilities are consistent and integrated
- Participate in customer conversations and feedback loops to understand metadata pain points in large-scale data and AI workloads
- Leverage modern AI and analytics tools to accelerate product discovery, documentation, and decision making
Our Ideal Candidate Has
- Bachelor’s degree in Computer Science from a top-tier undergraduate program
- Early career experience as an Associate Product Manager or background in investment banking or top-tier management consulting
- Strong analytical and problem-solving skills, with comfort using data to inform product decisions
- Interest in cloud infrastructure, distributed systems, and platforms that power enterprise AI and data workloads
- Comfort using AI tools to improve productivity, insight generation, and execution
- Excellent written and verbal communication skills
- A growth mindset and eagerness to learn from senior PMs and engineers
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