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. Even though we usually use high-level libraries (e.g., scikit or Snowflake’s Cortex) rather than perform matrix multiplications ourselves, some prior ML experience is definitely useful.
As a Software Engineer, you will contribute to the development of ML and LLM-based solutions, propose new ideas, and keep improving the existing models.
You will:
Develop and refine ML models that are critical to Snowflake’s business
Design metrics and experiments to validate your insights
Help to implement projects that span our stack, including Java and Python services hosted in Snowflake and Kubernetes
Collaborate with a cross-functional team, including product management and design
Deliver features requiring close coordination with several partner teams
Be a participant in defining the product vision and team planning
Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions
Our ideal Software Engineer will have:
B.S. or M.S. degree in CS, or equivalent discipline
3+ years of hands-on software engineering experience
1+ years of working ML experience
Interest in the State of the Art LLM-based solutions
Great communication skills, both verbal and written and an interest in working with a diverse set of peers and external developers
Genuine enjoyment of the art of building great software, and a love of learning new things
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Skills Required
- B.S. or M.S. degree in Computer Science or an equivalent discipline
- 3+ years of hands-on software engineering experience
- 1+ years of working machine learning experience
- Interest in state-of-the-art LLM-based solutions
- Strong verbal and written communication skills
- Ability or interest in working with diverse peers and external developers
- Enjoyment of building software and learning new technologies
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
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Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
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Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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