Why This Job is Featured on The SaaS Jobs
This Senior Solution Engineer role sits at a key intersection in enterprise SaaS: translating a complex data and AI platform into outcomes that resonate with both technical stakeholders and executive buyers. In a category where differentiation often depends on architecture choices and workload fit, solutions engineering becomes a core part of how modern platform SaaS is evaluated, adopted, and expanded.
For a SaaS career, the work builds durable leverage across the full customer lifecycle, from discovery and demos through proof of concept design and implementation planning. Exposure to competitive positioning, partner collaboration, and multi-stakeholder communication is especially transferable across B2B SaaS, where revenue outcomes are tightly linked to technical credibility. The emphasis on AI and ML capabilities also reflects a broader shift in SaaS toward agentic and data-native workflows, making the learning curve relevant beyond a single product.
This position tends to suit professionals who enjoy customer-facing problem solving and can move between hands-on technical depth and business framing without losing clarity. It is a strong match for someone who prefers owning narrative and solution design in complex deals, and who is comfortable being a connective layer across sales, product, and engineering in a platform-led SaaS environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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.
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
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: careers.snowflake.com
