Sales Engineer, RelationalAI

• Bring 5+ years of Sales Engineering professional experience
• Have sold Snowflake as a Sales Engineer employed at Snowflake, OR have supported Snowflake as a Snowflake employee or Snowflake partner, OR have been a user of Snowflake
• Prior pre-sales / sales engineering experience, especially doing presentations and demos, conducting discovery and whiteboarding sessions, etc
• Familiar with relational databases and SQL
• Experience conceptualizing and presenting the business value of a product’s architecture and capabilities to different audiences in different industries

Desirable

• Sales Engineers at RelationalAI serve as the trusted technical advisors for our customers and often act as the key translator and facilitator across functional groups
• They use their knowledge of the competitive landscape, industry trajectory and prevailing market trends to drive business value, offer advice, and support our customers as they deploy solutions
• At RelationalAI we are defining a new approach to developing analytic solutions or “Data Apps” utilizing the vast amounts of complex data now available to our customers
• As the complexity grows for both us and our customers, we are looking to our Sales Engineers to strategize and lead customers in use case discovery, RelationalAI evangelism, and oftentimes helping new users with concepts like declarative programming, business modellng, or AI/ML
• A Sales Engineer must be ready to interact and have technical discussions with data scientists and engineers, then demonstrate the value of RelationalAI in business discussions with company executives
• The goal is to enable our customers to become successful and enthusiastic RelationalAI champions. A Sales Engineer has a key role internally as well. This position is dynamic and highly cross-functional
• Armed with key customer insight and knowledge, a Sales Engineer must regularly work with the sales, product, engineering, support, and marketing teams
• Work with Sales Reps to identify and call upon prospects
• Position RAI’s product within the ecosystem of complementary tools, partners, and competitors
• Perform deep dive discovery to identify customer data flows, key use cases and stakeholders, pain points and opportunities
• Design and propose POCs and Pilots, including success criteria
• Create sales collateral and other assets