Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation. Backed by Sequoia.
About the role
Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership Build and execute a vision for incorporating new advances in machine learning
What they're looking for
- 8+ years of experience in designing and building data serving infrastructure and/or machine learning platforms
- Preferred: Strong operational experience managing PostgreSQL in production environments
- Strong track record working with machine learning systems and platforms
- Strong understanding of computer science fundamentals
- B.Sc . in Computer Science
- Fluency in Java and Python
More about this role
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers.
Help define and own the roadmap for Snowflake Feature Store,...
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