Senior Solution Engineer, Snowflake
$220-288.8k
OTE
$165-216.6k
BASE
+ Equity
3-5 days a week in office
AI Data Cloud for data sharing and app building
Posted today
AI Data Cloud for data sharing and app building
1001+ employees
Posted today
$220-288.8k
OTE
$165-216.6k
BASE
+ Equity
3-5 days a week in office
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 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
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
SERIES G
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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