---
title: 'Product Manager | Cloud Data Platform at SingleStore-LinkedIn'
canonical: 'https://feeny.ai/job/product-manager-cloud-data-platform-singlestore-linkedin-united-states-645rdc5f7z2m'
type: 'job'
last_seen: '2026-09-09'
---

# Product Manager | Cloud Data Platform at SingleStore-LinkedIn

- **Company:** SingleStore-LinkedIn
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-08-19
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/singlestore-linkedin/jobs/8141581

## Job description

SingleStore is building the real-time data platform powering next-generation AI and enterprise applications. We are looking for a Staff Product Manager to lead key areas of our cloud services platform, helping enterprises deploy, operate, and scale mission-critical AI and data workloads globally.

In this role, you will shape the roadmap for core cloud platform capabilities spanning infrastructure, reliability, scalability, security, and developer experience. You’ll partner closely with engineering, design, sales, and customers to define the future of cloud-native data infrastructure.

## Role and Responsibilities

- Define and drive the roadmap for SingleStore’s cloud data platform
- Identify opportunities to improve scalability, reliability, security, and developer experience across the platform
- Partner with engineering and design to deliver high-impact cloud platform capabilities for enterprise customers
- Translate customer needs, market trends, and competitive insights into clear product strategy and execution plans
- Work cross-functionally with GTM, support, operations, and professional services teams to ensure successful product adoption and delivery
- Engage directly with customers and ecosystem partners to gather feedback, validate priorities, and influence long-term product and platform direction
- Define success metrics and use data-driven decision-making to evaluate product outcomes and prioritize investments

## Your Experience

- 10+ years of product management experience, including experience with cloud platforms or enterprise SaaS products
- Strong technical understanding of distributed systems, databases, cloud infrastructure, or developer platforms
- Experience building products for enterprise customers at scale
- Proven ability to define product strategy and execute complex roadmaps across cross-functional teams
- Excellent written and verbal communication skills, with the ability to simplify complex technical concepts
- Experience partnering closely with engineering, design, GTM, and customer-facing teams
- Comfortable operating in fast-paced environments with evolving priorities

## Preferred Qualifications

- Experience with databases, data infrastructure, or real-time analytics platforms
- Familiarity with public cloud platforms such as AWS, Azure, or GCP
- Experience with SaaS operations, observability, reliability, or platform tooling
- Working knowledge of SQL and/or Python
- MBA or advanced degree in a technical field

Why Join SingleStore?

- Shape the future of real-time AI and data infrastructure
- Influence platform strategy used by global enterprise customers
- Work alongside deeply technical engineering and database experts
- Drive innovation across cloud infrastructure, developer tooling, and AI-native workloads
- Help define the next generation of distributed data systems
- Our platform powers real-time analytical and AI workloads for some of the world’s largest enterprises

SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.

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.

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/)

Req ID: ENG00476

## 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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