Senior Sales Engineer

Posted 7 Days Ago
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Mumbai, Maharashtra
Expert/Leader
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
We're shattering barriers that prevent organizations from unleashing the true value of their data.
The Role
The Senior Sales Engineer will provide technical expertise to ensure customer success with Snowflake's solutions, collaborating with Sales, Product, Engineering, and Marketing teams. Responsibilities include presenting technology to clients, assisting with demo and implementation processes, and maintaining a deep understanding of data technologies. Strong communication skills and customer-facing expertise are essential.
Summary Generated by Built In

Build the future of data. Join the Snowflake team.

The Sales Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing, and will be responsible for providing technical expertise to make Snowflake customers successful. The sales engineer will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. You will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.

The Sales Engineer has the willingness to jump in and do what it takes to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. You will work collaboratively with a broad range of people, both inside and outside the company.

RESPONSIBILITIES:

  • 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
  • Maintain 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
  • Be an advocate and develop mutual trust with the technical audience on the customer side

MINIMUM REQUIREMENTS:

  • Minimum 10-12 years of experience working in customer facing sales engineering (tech pre-sales) role
  • Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps
  • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Hands-on expertise with SQL (Python knowledge would be a bonus)

STRONGLY DESIRED:

  • Data Science knowledge and experience
  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience
  • Software development experience with Java, Spark and other scripting languages
  • Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.) and cloud data platforms
  • Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
  • Sound understanding and experience in the Indian market and technology ecosystem

ADDED BONUS FOR:

  • Strong Data Science/AI/ML experience across a variety of platforms
  • Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc)
  • Cloud Provider Experience -  Amazon AWS, Microsoft Azure, and Google Cloud 
  • Experience using AWS or Azure native services such as AWS S3, AWS Glue, AWS SageMaker or Azure Blob Storage, Azure Data Factory, Azure Database Migration Services 
  • OLAP Data modeling and data architecture experience
  • Experience selling enterprise SaaS software
  • Proven success at enterprise software start-ups

Top Skills

Java
Python
Spark
SQL
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The Company
HQ: Bozeman, MT
7,630 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com.

Why Work With Us

We’re at the forefront of the AI data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

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