Senior Solution Engineer (AI)

TL;DR

Senior Solution Engineer (AI): Designing and delivering technical solutions for complex customer data challenges with an accent on data warehousing, cloud architecture, and AI integration. Focus on conducting deep architectural discovery, providing value-based demonstrations, and supporting enterprise Proof of Concepts.

Location: Hybrid; must be based in Menlo Park, CA or Dublin, CA (USA)

Salary: $165,000 – $216,562 (Base), $260,000 - $288,000 (OTE)

Company

Cloud-based data warehousing company powering the era of the agentic enterprise.

What you will do

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
• Conduct hands-on demonstrations and support enterprise Proof of Concepts (PoCs) throughout the sales cycle.
• Strategize with sales teams and channel partners to navigate and win complex sales cycles.
• Perform deep discovery of customer architecture frameworks to design effective Snowflake-based solutions.
• Collaborate with Product Management, Engineering, and Marketing to continuously improve products.

Requirements

• 7-8 years of industry experience, with a minimum of 5 years in a pre-sales environment.
• Broad experience with large-scale Database/Data Warehouse technology, ETL, and cloud (e.g., Data Lake, Data Mesh, Data Fabric).
• Hands-on expertise with SQL, SQL analytics, and Python.
• Outstanding presentation skills for both technical and executive audiences.
• Ability to connect specific business problems to technical architecture solutions.
• Must be located in or able to work from Menlo Park or Dublin, CA.

Nice to have

• Masters in Data Science or Business Administration.
• Experience working with Global System Integrators (e.g., EY, Deloitte, Accenture).

Culture & Benefits

• Competitive base salary, variable compensation, and equity.
• Comprehensive benefits including 401(k), health, dental, and vision insurance.
• Flexible PTO and professional development budget.
• Low-ego, experimental environment with a strong focus on AI-native workflows.