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
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Deep expertise in either AI quality and applied modeling or database systems, supported by substantial technical contributions and measurable production impact. Expertise in both is not required
- 8+ years of relevant experience in software engineering, applied machine learning, or database systems, including independently leading multi-engineer projects from definition through production
- Strong fundamentals in algorithms, data structures, and software design, fluency in at least one of C++, Java, or Python, and strong debugging and testing skills
- An empirical approach to problem solving: clear metrics, disciplined experiments, root-cause analysis, and sound tradeoffs between quality, cost, and latency
- Strong product sense and a track record of co-defining product direction with PMs and leadership, connecting technical investments to customer value and business outcomes
- Relevant depth in either area
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.
About the team
Our vision is to make raw multimodal data agent-ready and useful for analytics at enterprise scale. With Snowflake AI Functions, we enable pipelines that transform PDFs, images, audio, and video into high-quality information for downstream agents and applications, with the scalability and performance of a data platform.
We bring semantic operators into SQL—extraction, classification, filtering, joins, summarization, and aggregation—so customers can process and analyze...
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