Snowflake
SaaS
SoftwareEngineer-CustomerExperienceEngineering
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer - Customer Experience Engineering at Snowflake. Skills: ML, LLM, software engineering, Python, Java. Develop and refine ML models. Design metrics and experiments to validate your insights”
What You'll Achieve.
accelerate your impact; deliver results; scale Snowflake’s global support and sales organizations; empower our technical experts by providing the advanced tools they need to resolve complex issues and drive customer success; automate manual processes and augment the capabilities of our technical staff; ensure the quality and reliability of our internal and external tools; allow our experts to focus on the most technical aspects of the Snowflake platform; detect potential widespread issues more quickly; keep improving the existing models; validate your insights; enable and accelerate our growth
Industry & Context.
solve problems; accelerate your impact; Pinpoint problems; implement solutions; streamlining troubleshooting; eliminate bottlenecks
What They're Looking For.
Must Have
3+ years of hands-on software engineering experience, 1+ years of working ML experience
Nice to Have
Interest in the State of the Art LLM-based solutions
What You'll Do.
Develop and refine ML models
Design metrics and experiments to validate your insights
Help to implement projects that our stack
including Java and Python services hosted in Snowflake and Kubernetes
Deliver features requiring close coordination with several partner teams
Be a participant in defining the product vision and team planning
instrument relevant components as needed
and ultimately implement solutions
Develop and deploy LLM and agent-based architectures for streamlining troubleshooting
Implement large-scale evaluations to ensure the quality and reliability of our internal and external tools
Design intelligent workflows that eliminate bottlenecks and allow our experts to focus on the most technical aspects of the Snowflake platform
and agents to detect potential widespread issues more quickly
work closely with the state of the art LLM models
apply various clusterings
contribute to the development of ML and LLM-based solutions
and keep improving the existing models
How You'll Work.
Team & Collaboration
Collaborate with a cross-functional team, including product management and design; Deliver features requiring close coordination with several partner teams
Communication Scope
Great communication skills, both verbal and written
Process & Methodology
team planning
Full Job Description
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. The Customer Experience Engineering Team builds the internal and external technologies that scale Snowflake’s global support and sales organizations. We empower our technical experts by providing the advanced tools they need to resolve complex issues and drive customer success. Our team specializes in software engineering, data-driven decisions, ML, and LLM-based solutions. We build production-grade systems to automate manual processes and augment the capabilities of our technical staff. Our current focus includes: - LLMs: Developing and deploying LLM and agent-based architectures for streamlining troubleshooting - Scalable Evaluations: Implementing large-scale evaluations to ensure the quality and reliability of our internal and external tools - Process Automation: Designing intelligent workflows that eliminate bottlenecks and allow our experts to focus on the most technical aspects of the Snowflake platform - Incident discovery: using embeddings, LLMs, clustering, and agents to detect potential widespread issues more quickly Now, the team is growing, and we are looking for a Software Engineer to join us. In this role, you will work closely with the state of the art LLM models, fine-tune them, develop agents, apply various clusterings, summarizations, embeddings, and so on
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