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.
Associate Solution Engineer (French Speaker)
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 core to how you solve problems and accelerate your impact.
We are looking for a Associate Solution Engineer (French speaker) who can solve our customers' most complex problems. You will work directly with the account sales team and channel partners to understand customer needs, strategize on how to support their evaluation, and ultimately help them choose Snowflake.
In this role you will:
Present Snowflake's technology and AI/ML vision to executives and technical contributors at prospects and customers
Work hands-on with prospects and customers to demonstrate the value of Snowflake's AI Data Cloud, including Cortex AI, Snowflake Cortex Agents, and ML-powered features, throughout the full sales cycle
Design and demonstrate agentic AI workflows and LLM-powered data applications built on Snowflake
Help customers modernize from traditional analytics to AI-first architectures leveraging vector search, RAG pipelines, and real-time inference
Create and develop technical champions who understand Snowflake's AI differentiation in the market
Stay at the cutting edge of Generative AI, LLMs, and agentic frameworks and confidently present Snowflake's AI roadmap
Maintain a deep understanding of the competitive AI/data landscape (Databricks, Azure OpenAI, Google Vertex, AWS Bedrock, etc.) and how to position Snowflake
Collaborate with Product, Engineering, and Marketing to improve Snowflake's AI products and go-to-market messaging
Represent Snowflake at industry events, including AI- and data-focused conferences
On day one we will expect you to have:
Solution Engineering / Solution Architect experience in a SaaS environment, or relevant industry experience in analytics, data science, or data engineering
Demonstrated familiarity with AI/ML concepts — including LLMs, prompt engineering, RAG (Retrieval-Augmented Generation), vector databases, and agentic AI patterns
Outstanding presentation skills to both technical and executive audiences
Hands-on experience with SQL and comfort working with structured and unstructured data
Understanding of modern data architecture, cloud platforms, and AI-native application design
Customer-facing skills to communicate Snowflake's AI and data vision to a wide range of audiences
Preferred (but not required):
Hands-on experience with Python and AI/ML libraries (e.g., LangChain, LlamaIndex, Hugging Face, OpenAI SDK)
Experience building or evaluating LLM applications or AI agents
Familiarity with Snowflake Cortex (Cortex Analyst, Cortex Search, Cortex Agents, ML Functions)
Experience with modern data tooling: dbt, Spark, containers, orchestration tools, Git, DevOps
Background in data science, ML Ops, or AI engineering
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
- Solution Engineering or Solution Architect experience in a SaaS environment or analytics/data engineering background
- Familiarity with AI/ML concepts including LLMs, prompt engineering, RAG, vector databases, and agentic AI patterns
- Outstanding presentation skills to technical and executive audiences
- Hands-on experience with SQL and working with structured and unstructured data
- Understanding of modern data architecture, cloud platforms, and AI-native application design
- Customer-facing skills to communicate AI and data vision
- Hands-on experience with Python and AI/ML libraries (LangChain, LlamaIndex, Hugging Face, OpenAI SDK)
- Experience building or evaluating LLM applications or AI agents
- Familiarity with Snowflake Cortex (Cortex Analyst, Cortex Search, Cortex Agents, ML Functions)
- Experience with modern data tooling: dbt, Spark, containers, orchestration tools, Git, DevOps
- Background in data science, MLOps, or AI engineering
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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Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
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Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
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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