Senior Solution Engineer, Snowflake
Retail & Consumer Goods
$220-288.8k
OTE
$165-216.6k
BASE
+ Equity
More information about location
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
$220-288.8k
OTE
$165-216.6k
BASE
+ Equity
More information about location
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 5-7+ years of industry experience with a minimum of 5 years within a pre-sales environment
- Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
- Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space
- A proven ability to leverage AI code generation tools to accelerate productivity and efficiency
- Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
- Hands-on expertise with SQL,SQL analytics, and Python
- Ability to connect a customer’s specific business problems and Snowflake’s solutions
- Ability to do deep discovery of 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 DataScience or Business Administration is a plus
- Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
- Expect approximately 30% travel
What the job involves
- 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
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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