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SingleStore-LinkedIn

Principal Solutions Engineer

India

Location
India
Work
Not stated
Employment
Not stated
Level
Lead / staff
Function
Sales
Pay
Not stated
Posted
4 weeks ago

About the role

Position Overview

Solution Engineers (SEs) at SingleStore are solving some of the most cutting-edge technical challenges in today’s data-driven world. When customers evaluate SingleStore, SEs are their trusted technical experts who evaluate, identify, and demonstrate how SingleStore can solve their mission-critical business needs. As key contributors to our sales organization, Solution Engineers add tremendous value to the customer journey and directly impact company growth and revenue.

In this role, you will be responsible for identifying the technical requirements necessary to deliver business value for our Fortune 1,000 customers. Working in partnership with Enterprise Account Executives, you will help to acquire new customers and expand existing accounts. You will do this by leveraging your technical skill set and business acumen to understand complex solutions and create high-quality demos that resonate with our customers.

Role and Responsibilities

  • Partner with Prospects and Customers to understand their industries and strategies, and educate them on SingleStores strategy, technologies and vision.
  • Partner with Account Executives to close new business (logos) and expand existing accounts
  • Partner with internal teams (Product, Engineering, Support, Marketing etc.) to share feedback on customer needs and requests
  • Design, develop, and deploy Proofs of Concept (POCs) with prospective customers
  • Drive the technical evaluation stage of the sales cycle, acting as the technical lead/subject matter expert (query tuning, load testing, etc.)
  • Work to develop Channels and Partners for co-selling in the region.

Required Skills and Experience

  • Fluency in English and regional languages
  • Experience with Gen AI, ML and Advanced Analytics
  • Experience successfully selling enterprise database technologies, distributed systems, and similar products
  • Deep understanding of distributed database technologies, including both analytic and transactional processing
  • Expertise executing POCs, with experience designing and deploying complex technologies into existing customer environments
  • In-Depth understanding of data platforms, including various competitive products (Oracle, SQL Server, Postgres, MongoDB, Snowflake, Databricks, etc.)
  • Experienced in 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

SingleStore is a global database company that empowers the world’s leading organizations to build and scale cutting-edge AI applications on a unified data platform that supports real-time transactions, analytics, and search. Our platform handles streaming data ingestion, vector search, full-text search, and multi-model data types - all with high performance, petabyte-scale capacity, high user concurrency, and low latency.

As a leader recognized by both Gartner and Forrester Wave, SingleStore serves the world ‘s leading data innovators including the top Fortune 500 enterprises. Our 95%+ gross retention rate reflects the strong satisfaction and trusts our customers place in the platform. SingleStore is owned by private equity firm Vector Capital and is headquartered in San Francisco, with offices worldwide, including Hyderabad.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

Source

Posted by SingleStore-LinkedIn on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 04:31 UTC; the original is the reference.

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