Base Salary
$236k - $310k/yr
Responsibilities
- Own major pillars of the agent quality stack and tune agent behavior for next-generation agentic coding tasks.
- Design and evolve pipelines and tooling for large-scale experimentation, error mining, and iteration on prompts, tools, and workflows.
- Lead quality-regression postmortems, cluster failure modes, and create prioritized roadmaps for engineering and modeling partners.
- Align product, infrastructure, and applied AI teams on quality standards for critical customer workflows.
- Mentor engineers and improve evaluation practices across the team.
- Ensure quality systems provide reproducible runs, stable datasets, versioning, and operational clarity when systems drift.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field; a Master’s degree or higher is preferred but not required.
- 10+ years of experience shipping AI/ML-backed software in production, including Staff-level technical ownership, cross-team delivery, and mentoring.
- Strong experience building and operating evaluation harnesses, measurement systems, or experimentation loops for LLM and agent systems.
- Programming proficiency in at least two of Python, TypeScript, and Go.
- Strong written and verbal communication skills, including the ability to influence engineering and product partners without authority.
- Experience with data engineering pipelines, data modeling, data analysis, retrieval systems, or semantic layers is a plus.
- Experience with agentic coding tools, LLM observability, safety or guardrails, and production quality systems used as release gates is advantageous.
Tech Stack
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.