Snowflake

SaaS

SoftwareEngineer-CustomerExperienceEngineering

Warsaw, Poland FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

SaaS
Problems you'll solve

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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