Senior Solution Engineer, Telecommunications

Snowflake; United States; On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

401(k) / retirement plans

Stock purchase plan (ESPP)

Job summary

Snowflake is seeking a Senior Solution Engineer in the United States to work with sales teams and partners, delivering value-based demonstrations and enterprise PoCs. You will articulate Snowflake’s data platform, architect solutions, and closely collaborate with product, engineering, and marketing to win large deals.

Ideal candidates have 5+ years in ML/AI in the cloud, 7–8 years in the industry with 5+ in pre-sales, and strong SQL/Python hands-on skills.

Qualifications

• 5+ years building and deploying ML and generative AI solutions in the cloud.
• 7-8 years industry experience with at least 5 in pre-sales.
• Ability to demonstrate Snowflake value to executives and technical audiences.

Responsibilities

• Present Snowflake solutions to executives and technical teams.
• Lead end-to-end demos, PoCs and design sessions with prospects.
• Collaborate with Sales, Partners, Product, and Marketing to close large deals.
• Travel up to 30% to engage customers and partners.
• Translate customer problems into Snowflake architecture and data solutions.

Skills

Generative AI

Cloud platforms

Solution selling

Executive communication

SQL

Python

Education

Bachelor's degree in CS/Engineering/Math or related

Masters in Data Science or MBA (plus)

Tools

SQL analytics

Python tooling

AI code generation tools

Job description

Responsibilities

• We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals
• In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business
• As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done
• You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences
• Present Snowflake technology and vision to executives and technical contributors at prospects and customers
• Work hands‑on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
• Immerse yourself in the ever‑evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Qualifications

• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
• 7-8 years of industry experience with a minimum of 5 years within a pre‑sales environment
• A proven ability to leverage AI code generation tools to accelerate productivity and efficiency
• Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space
• Broad range of experience within large‑scale database and/or data warehouse technology, ETL, analytics and cloud technologies (e.g., Data Lake, Data Mesh, Data Fabric)
• Ability to connect a customer’s specific business problems and Snowflake’s solutions
• Ability to conduct deep discovery of a customer’s architecture framework and connect those with Snowflake Data Architecture
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred; Masters in Data Science or Business Administration is a plus
• Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Experience with GSIs (EY, Deloitte, Accenture, etc.) would be beneficial, but not required
• Expect approximately 30% travel
• Hands‑on expertise with SQL, SQL analytics, and Python

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