PostgreSQL-based cloud database for time-series, events and analytics
Timescale runs a managed PostgreSQL cloud for time-series and analytical workloads, built on Go, Rust, C++ and Kubernetes operators across AWS, Azure and GCP. Job posts point to a push into industrial and OT markets through systems-integrator partnerships. Security automation in CI/CD and AI-driven customer success workflows, using LangGraph and GPT, are also emerging priorities alongside an accelerating, engineering- and sales-weighted hiring mix.
Timescale, founded in 2015 and headquartered in New York, develops TimescaleDB, an open-source time-series database built on PostgreSQL, and a cloud platform for time-series, event and analytics data. Its users run industrial data analysis, monitoring, operational data warehousing, financial risk and geospatial tracking workloads across sectors such as manufacturing, utilities, energy, logistics, finance and telecom. The company is privately held with 51–200 employees and hires across the United States, India and Brazil.
Timescale builds on PostgreSQL and TimescaleDB with Go, Rust, C++, Python and TypeScript, runs on Kubernetes with Helm across AWS, Azure and GCP, and uses Salesforce, HubSpot, Marketo and Outreach for go-to-market.
Job posts point to Kubernetes controllers and operators, better deployment reliability and observability, an OT systems integrator partner ecosystem, and AI-driven customer success workflows.
Timescale hires in the United States, India and Brazil. Hiring is accelerating and centers mainly on engineering and sales, with mostly senior-level roles.
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Timescale's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.