Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DESingleStore_
As of 4 November 2026, SingleStore has 42 open roles (12 new in 30 days), its software engineering team is hiring most, and its postings name Kubernetes, Python and Google Cloud as the tools the team works in.
As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- San Francisco, California, United States
- Employees
- 201-500 employees (linkedin)
- Sells to
- marketing teams, manufacturing, retail
- Certifications on site
- ISO 27001, SOC 2
- Site languages
- EN, JA
- Career system
- Greenhouse
SingleStore in one screen
Read from singlestore.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
SingleStore is a database platform provider that offers an HTAP database, AI data context engine, and real-time analytics for marketing, manufacturing, retail, finance, technology, and healthcare. Its offerings include the SingleStore database, Analyst AI tool, Context Engine, and Smart Search. It targets enterprise customers with large-scale data needs.
Named on the site: marketing teams, manufacturing, retail, finance, technology, healthcare.
Seen in buyers' own postings: technology & software, media & content, consumer services & leisure; mostly 1001-5000 employees and 11-50 employees; United States (26) and France (5).
Nearest companies by what they do, sell and whom they serve, 51+ employees. 594 scored.
Companies whose own job postings name SingleStore as the system their team works in. Ideal-customer examples, not a reference list from the vendor.
What SingleStore says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
In this role, you will be at the intersection of leading technology trends – A highly performant distributed database, managed by Kubernetes, running in the cloud.• Write Resilient Systems Code: Develop performant, fault-tolerant backend services and control planes using modern Go language & Python.• Design, build, and maintain cloud infrastructure across major cloud providers (AWS, GCP, Azure), and develop/support deployments of applications, services, and monitoring with a strong focus on scalability, reliability, and cost optimizatThis is a senior hands-on technical role spanning cloud networking, site reliability engineering, infrastructure automation, and platform architecture across AWS, GCP, Azure, and internal infrastructure.● Data analysis & pipelines: Write Python and SQL to extract, transform, and analyse data from internal systems (Salesforce, data warehouse, etc.), including building scoring and prioritization models.Networking Design: Own cross-cloud networking topology, ingress/egress controls, multi-region routing, VPC peering/PrivateLink topologies, DNS architectures, and service mesh performance (Envoy, Cilium, or Istio) across AWS, Azure, and GCP.Flow spans Java-based engines, source and destination connectors, database internals, performance and memory management, Helios services and APIs, observability, test automation, Flow AI Agent and signed production release delivery.Write PRDs and work with Product, Engineering, Design, and Docs on the work that makes us agent-ready: our MCP server and its listings, connectors and integrations with AI app builders, and docs an agent can follow.Create or direct technical content that drives AEO and agent preference, such as sample apps on GitHub, technical videos, and database comparisons, with our content team.• Deliver bug-free code in a low-level, unmanaged memory C++ environmentnce of a SingleStore cluster, accelerating the performance of SQL queries with techniques like SIMD vectorization and LLVM codeGen, or writing search and costing modules for the query optimizer, our engineers are responsible for building syng engineering (Kubernetes clusters, container registries, artifact systems, and internal developer platforms) leveraging deep expertise in Kubernetes, container runtimes, and the broader cloud-native ecosystem (Helm, Kustomize, operators).ng engineering (Kubernetes clusters, container registries, artifact systems, and internal developer platforms) leveraging deep expertise in Kubernetes, container runtimes, and the broader cloud-native ecosystem (Helm, Kustomize, operators).• Use low-level debugging techniques including GDB and Flame graphs to fix problems and improve performanceVendors whose code loads on singlestore.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
42 open roles, 36 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring software engineering in United States →
| open · new 30 d | |
|---|---|
| Software engineering | 20 · 5 |
| Sales | 13 · 5 |
| Customer service & success | 2 · 1 |
| IT operations & business systems | 2 · 0 |
| Data & AI | 1 · 0 |
| General management & consulting | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add SingleStore to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Free plan: 1,000 records, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like SingleStore
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 594 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
SingleStore (San Francisco, United States, 201-500 employees) has 42 open roles, 12 new in 30 days, and names 14 tools in its postings. (Breaknorm, 4 November 2026, https://breaknorm.co/company/singlestore.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from singlestore.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Greenhouse career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
SingleStore: questions
Does SingleStore use Kubernetes?
Yes, by the company's own words: 42 postings name it, first seen 2026-01-16, in the sales team.
Is SingleStore hiring?
42 open roles as of 4 November 2026, 12 opened in the last 30 days and 9 closed. The largest team hiring is software engineering.
Where does this profile come from?
From singlestore.com itself: we crawled it on 2026-08-08, built the profile on 2026-08-16, and read its career site (Greenhouse) hourly since. Headcount is from LinkedIn.
Who should I write to at SingleStore?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 1 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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