SingleStore

Principal Solutions Engineer

SingleStore
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1 month ago
India (city not specified)Staff+

Responsibilities

  • Partner with prospects and customers to understand their industries, strategies, and technical needs and educate them about SingleStore’s technology and vision.
  • Partner with Account Executives to close new business and expand existing accounts.
  • Collaborate with Product, Engineering, Support, Marketing, and other internal teams to communicate customer needs and requests.
  • Design, develop, and deploy proofs-of-concept with prospective customers.
  • Lead the technical evaluation stage of the sales cycle, including query tuning and load testing.
  • Develop channels and partners for co-selling in the region.

Requirements

  • Fluency in English and regional languages.
  • Experience with generative AI, machine learning, and advanced analytics.
  • Experience successfully selling enterprise database technologies, distributed systems, and similar products.
  • Deep understanding of distributed database technologies for both analytic and transactional processing.
  • Expertise executing proofs-of-concept and designing and deploying complex technologies into existing customer environments.
  • In-depth understanding of data platforms and competitive products including Oracle, SQL Server, Postgres, MongoDB, Snowflake, and Databricks.
  • Experience with cloud and containerized environments, deployment, and orchestration, including Linux and Kubernetes environments.
  • Proficient programming skills in Python, Java, or other programming languages.
  • Ability to travel within the region and internationally.
  • Bachelor’s degree in Computer Science or a relevant technical field.

Tech Stack

DatabricksJavaKubernetesLinuxMicrosoft SQL ServerMongoDBPostgreSQLPythonSingleStoreSnowflake

Categories

Solutions Engineering
SingleStore

About SingleStore

501-1,000 employees

SingleStore builds SingleStoreDB, a distributed SQL database that supports real-time transactions and analytics on the same engine for data-intensive applications. It sells enterprise licenses and a managed cloud service to developers and companies needing low-latency analytics on operational data. Founded in 2011 and headquartered in San Francisco, the company is privately held and has a majority investment from Vector Capital.

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