---
title: 'Senior Solutions Engineer at SingleStore-LinkedIn'
canonical: 'https://feeny.ai/job/senior-solutions-engineer-singlestore-linkedin-united-states-ygndkhgtbqyv'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Solutions Engineer at SingleStore-LinkedIn

- **Company:** SingleStore-LinkedIn
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/singlestore-linkedin/jobs/8158025

## Job description

SingleStore is looking for a Solutions Engineer who is passionate about removing data bottlenecks for their customers and enabling real-time data capabilities to some of the most difficult data challenges in the industry. In this role you will work directly with our sales teams, and channel partners to identify prospective and current customer pain points where SingleStore can remove those bottlenecks and deliver real-time capabilities. You will provide value-based demonstrations, presentations, and support proof of concepts to validate proposed solutions.

As a SingleStore solutions engineer, you must share our passion for real-time data, fast analytics, and simplified data architecture. You must be comfortable in both high executive conversations as well as being able to deeply understand the technology and its value-proposition.

## About our Team

At SingleStore, the Solutions Engineer team epitomizes a dynamic blend of innovation, expertise, and a fervent commitment to meeting complex data challenges head-on. This team is composed of highly skilled individuals who are not just adept at working with the latest technologies but are also instrumental in ensuring that SingleStore is the perfect fit for our customers.

Our team thrives on collaboration and determination, building some of the most cutting-edge deployments of SingleStore data architectures for our most strategic customers. This involves working directly with product management to ensure that our product is not only addressing current data challenges but is also geared up for future advancements.

Beyond the technical prowess, our team culture is rooted in a shared passion for transforming how businesses leverage data. We are a community of forward-thinkers, where each member's contribution is valued in our collective pursuit of excellence. Our approach combines industry-leading engineering, visionary design, and a dedicated customer success ethos to shape the future of database technology. In our team, every challenge is an opportunity for growth, and we support each other in our continuous learning journey. At SingleStore, we're more than a team; we're innovators shaping the real-time data solutions of tomorrow.

## Responsibilities

- Partner with Account Executives to close new business (logos) and expand existing accounts
- 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.)
- Partner with internal teams (Product, Engineering, etc.) to share feedback on customer needs and requests

## Qualifications

- Minimum of 7 years experience in a technical pre-sales role
- Excellent presentation and communication skills, with experience presenting to large corporate organizations
- Ability to communicate complex technical concepts for non-technical audiences.
- Strong team player with interpersonal skills
- Broad range of experience within large-scale database and/or data warehousing technologies
- Experience with data engineering tools  Apache Spark, Apache Flink,Apache Airflow
- Demonstrated proficiency in ANSI SQL query languages
- Demonstrated proficiency in Python, Scala or Java
- Understanding of private and public cloud platforms such as AWS, Azure, GCP, VMware

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

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.

SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.

SingleStore’s base salary range for this role, if based in Boston, Chicago, New York, Austin, Phoenix, Las Vegas, Seattle, Washington, or Dallas is: $150,000 -  $175,000 USD per year

For candidates residing in California, please see our[California Recruitment Privacy Notice](https://www.singlestore.com/singlestore-california-recruitment-privacy-notice/). For candidates residing in the EEA, UK, and Switzerland, please see our[EEA, UK, and Swiss Recruitment Privacy Notice.](https://www.singlestore.com/recruitment-privacy/)

## About SingleStore-LinkedIn

## Company Overview
- **One-liner**: SingleStore is a real-time distributed SQL database platform that enables enterprises to run transactions and analytics on a single system for intelligent, data-intensive applications.
- **Entity Type**: Private (Venture-backed; parent company Vector Capital Management)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2011
- **Founders**: Eric Frenkiel, Nikita Shamgunov, Adam Prout

## Core Business
- **Primary industry**: Database software / Real-time data platform (RDBMS, cloud data services)
- **Target customers**: B2B, mid-market to enterprise, spanning industries like finance, e-commerce, SaaS, and AI-driven applications
- **Mission/purpose**: “One platform for all data, built so you can engage with insight in every moment” – enabling real-time decision-making and AI workloads.

## Products & Services
- **SingleStore (Database Engine)**: Distributed, relational SQL database that supports transactions, analytics, JSON, geospatial, key-value, vector, and time-series data. Deployable on-premises, in any cloud, via Kubernetes, or as a managed service.
- **SingleStore Helios**: Fully managed cloud database service (DBaaS) for simplified deployment and scaling.
- **SingleStore Aura**: AI-powered performance optimization and management layer (mentioned on homepage).
- **Data Lake Integration**: Supports Apache Iceberg and other open table formats for hybrid transactional/analytical processing (HTAP).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company; last known funding round $964M total raised)
- **Key Metric**: Annual revenue ~$100M (LinkedIn estimate); total funding $964.2M across 13 rounds (seed through Series E and later rounds)
- **Notable Investors/Partners**: Backed by Vector Capital (parent), with prior investors including prominent venture firms (e.g., from Series rounds). Partners include cloud providers (AWS, Azure, GCP) and data ecosystem players.
- **Growth Signals**: 388 employees with offices in US, UK, Portugal, India, Ukraine, Canada, Singapore, Japan, France, Australia. Recent acquisitions of MEMSQL Portugal and SingleStore UK. Active hiring in engineering, sales, and operations (14+ open positions as of mid-2026). LinkedIn follower growth +14.4% yearly.

## Competitive Advantages
- **Unified HTAP**: Combines transactions and analytics in a single system, eliminating the need for separate databases and ETL pipelines.
- **Real-time performance**: Sub-millisecond queries on petabyte-scale data with ANSI SQL support.
- **Deployment flexibility**: On-prem, cloud, hybrid, Kubernetes – runs anywhere Linux runs.
- **Vector & AI capabilities**: Native support for vector search and time-series, positioning for enterprise AI workloads.
- **Strong engineering talent pool**: Employees recruited from top tech companies (Microsoft, Google, AWS, Oracle, Snowflake, Databricks) and top universities.

## Strategic Focus
- **Enterprise AI enablement**: Optimizing the platform for AI/ML workloads (vector databases, real-time inference).
- **Cloud expansion**: Growing Helios (DBaaS) and multi-cloud support (Aura platform).
- **Data lake integration**: Deepening support for open formats like Apache Iceberg to compete in the lakehouse space.
- **Global scaling**: Expanding sales and engineering presence in India, Portugal, and other regions.

## Why Work Here
- **Culture**: “Customers First, Performance Driven, Innovation Forward, Open & Honest Communication” – values emphasized on careers page.
- **Remote/Hybrid**: “Work remotely if it makes sense for you, your position, your team, and the company.” Many roles remote or hybrid; offices in SF, Sunnyvale, Seattle, Raleigh, London, Lisbon, Kyiv, Hyderabad, Tokyo, Singapore, Paris.
- **Benefits**: Comprehensive health/dental/vision, 401k, flexible time off, parental leave, stock grants (equity), home office stipend ($500), cell/internet stipend, fitness subsidy, Modern Health app, charitable donation matching with paid volunteer time off, fertility/family formation reimbursement.
- **Engineering culture**: High performance, modern tech stack (distributed systems, cloud-native, AI platforms). Strong internal mobility and career development.
- **Employee ratings**: 4.0/5.0 overall on LinkedIn (Work-Life 4.0, Compensation 4.0, Culture 3.8, Career 3.9).

## Sources
1. [LinkedIn Company Page](https://www.linkedin.com/company/singlestore)
2. [SingleStore Careers Page](https://www.singlestore.com/careers/)
3. [SingleStore Jobs (Greenhouse)](https://job-boards.greenhouse.io/singlestore-linkedin)
4. [SingleStore Homepage](https://www.singlestore.com/)

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