Senior Solution Engineer

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.

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.

We are seeking a Chicago-Based Senior Solution Engineer to solve customers' complex problems and drive large deal closures. This role combines technical expertise with business acumen, working directly with sales teams and channel partners to understand customer needs, provide compelling demonstrations, and support enterprise Proof of Concepts. The ideal candidate will be passionate about reinventing the database space — including how AI and ML are transforming it — and comfortable engaging with both executive and technical audiences.

IN THIS ROLE AT SNOWFLAKE, YOU WILL:

• Present Snowflake technology and vision — including our AI and ML platform capabilities — to executives and technical contributors

• Work hands-on with prospects to demonstrate value throughout the sales cycle, including Cortex AI, Snowpark ML, and agentic workflow use cases

• Maintain deep understanding of competitive and complementary technologies across data, AI, and ML ecosystems

• Collaborate with Product Management, Engineering, and Marketing teams

• Support enterprise Proof of Concepts and implementation designs, including end-to-end ML pipelines and GenAI applications built on Snowflake

• Design and demonstrate solutions leveraging LLMs, retrieval-augmented generation (RAG), vector search, and AI functions within Snowflake

• Drive strategic solutions to close business opportunities

WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:

• Outstanding presentation skills for both technical and executive audiences

• Broad experience with Database, Data Warehouse, ETL, and cloud technologies

• Hands-on expertise with SQL and Python

• Familiarity with machine learning concepts and frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or similar)

• Working knowledge of LLMs, generative AI, prompt engineering, and embedding-based search

• Ability to connect business problems with technical solutions, including AI/ML-driven approaches

• University degree in computer science, engineering, mathematics, or equivalent experience

• Strong customer-facing communication skills

BONUS POINTS FOR THE FOLLOWING:

• Experience with Snowflake Cortex AI, Snowpark ML, or Snowflake's Model Registry

• Experience building data pipelines using open table formats (such as Apache Iceberg or Delta Lake) and managing modern data catalogs (e.g., Unity Catalog, Polaris, Dremio, or AWS Glue Catalog)

• Familiarity with MLOps practices — model deployment, monitoring, and retraining pipelines

• Experience building or deploying RAG architectures, agentic workflows, or multi-modal AI applications

• Exposure to vector databases or semantic search tooling (e.g., Pinecone, Weaviate, pgvector)

• Background in a technical presales or solutions engineering role at an AI/ML or data platform company

COMPENSATION & BENEFITS:

• $220,000 - $288,000 On Target Earnings (OTE = Base Salary + Commission/Quota)

• Snowflake offers competitive base salary, variable compensation, equity, and comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget.
  

WHY JOIN OUR TEAM AT SNOWFLAKE?

Join a customer-obsessed team that's passionate about making clients successful through data innovation. We foster a culture of continuous learning and open feedback, where team members can make significant impacts. Our Solution Engineers are at the forefront of revolutionizing how organizations utilize their data, working with cutting-edge technology and solving complex challenges that drive business transformation.

Snowflake is growing fast, and we are 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?

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:

The following represents the expected range of compensation for this role:

• This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562.
• Additionally, this role is eligible to participate in Snowflake’s equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

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