Vector database and knowledge retrieval platform for AI applications
Pinecone builds the retrieval infrastructure behind AI applications, with a systems-heavy stack of Rust, Go and C++ running across AWS, GCP and Azure on Kubernetes. Job posts show a clear pivot toward agents: adopting MCP, redesigning APIs for agent-driven usage, and building knowledge-graph retrieval orchestration. Hiring is accelerating and skews heavily toward senior engineers, with latency, throughput and cost tuning a recurring theme.
Pinecone is a privately held company founded in 2019 and headquartered in New York, NY, with 51–200 employees. It offers a knowledge platform for AI applications that includes Database, Nexus and Marketplace products. Its customers are developers and companies building retrieval-augmented and AI-powered applications. The platform runs on all three major clouds, AWS, GCP and Azure, and current hiring is focused in the United States.
Pinecone uses Rust, Go, C++, Python and TypeScript, deployed on AWS, GCP and Azure with Kubernetes, Terraform and Pulumi. Kafka, Kinesis and Pub/Sub handle streaming, and it is adopting Cursor and MCP.
Current projects include knowledge graph construction and retrieval orchestration, semantic and hybrid retrieval backend services, a redesigned agent experience platform, an MCP protocol implementation and an observability system overhaul.
Yes. Hiring is accelerating and is dominated by senior engineering roles in the United States, with a smaller amount of marketing hiring.
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Pinecone'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.