Senior Solution Engineer

Posted 8 Days Ago
Be an Early Applicant
Chicago, IL, USA
In-Office
165K-217K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Drive technical presales for enterprise customers: present Snowflake's data and AI/ML capabilities, run demos and POCs (Cortex AI, Snowpark ML), design ML/GenAI pipelines (LLMs, RAG, vector search), collaborate with product and engineering, and close strategic deals with executive and technical stakeholders.
Summary Generated by Built In

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

Skills Required

  • Outstanding presentation skills for technical and executive audiences
  • Broad experience with Database, Data Warehouse, ETL, and cloud technologies
  • Hands-on expertise with SQL
  • Hands-on expertise with Python
  • Familiarity with machine learning concepts and frameworks (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
  • Experience with Snowflake Cortex AI, Snowpark ML, or Snowflake's Model Registry
  • Experience building data pipelines using Apache Iceberg or Delta Lake and managing data catalogs (Unity Catalog, Polaris, Dremio, AWS Glue Catalog)
  • Familiarity with MLOps practices: model deployment, monitoring, retraining pipelines
  • Experience building or deploying RAG architectures, agentic workflows, or multi-modal AI applications
  • Exposure to vector databases or semantic search tooling (Pinecone, Weaviate, pgvector)
  • Background in a technical presales or solutions engineering role at an AI/ML or data platform company

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.

  • Fair & Transparent Compensation Pay is considered competitive across many roles, and the company highlights structured practices aimed at pay equity. Total compensation is often described as strong at senior levels when equity and bonuses are included.
  • Equity Value & Accessibility Equity grants and an ESPP are standard, making ownership accessible and a meaningful part of total rewards. New-hire RSUs and ongoing equity alongside bonus/commission programs are emphasized.
  • Healthcare Strength Comprehensive medical coverage is offered with programs like Lyra providing up to 25 no-cost therapy/coaching sessions, alongside HSA-eligible plans. Wellness resources and additional clinical programs (such as Omada for certain conditions) broaden the scope of support.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

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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