
51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $28M Series A on 2022-03
Artificial Intelligence • SaaS • Enterprise
Pinecone is a leading knowledge platform that focuses on building accurate, secure, and scalable AI applications using its vector database. The company is known for powering AI solutions for top companies, including Cisco, by enabling precise and secure search through its integration with Google Cloud. Pinecone offers tools for embedding, upserting, and indexing data via an easy-to-use API, supporting various AI workloads like multi-modal search and classification. With a strong commitment to security and compliance, Pinecone is SOC2 Type II certified and HIPAA compliant, making it an enterprise-ready solution, fully managed in major clouds such as AWS, Azure, and GCP.
🕒 February 14
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51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $28M Series A on 2022-03
Artificial Intelligence • SaaS • Enterprise
Pinecone is a leading knowledge platform that focuses on building accurate, secure, and scalable AI applications using its vector database. The company is known for powering AI solutions for top companies, including Cisco, by enabling precise and secure search through its integration with Google Cloud. Pinecone offers tools for embedding, upserting, and indexing data via an easy-to-use API, supporting various AI workloads like multi-modal search and classification. With a strong commitment to security and compliance, Pinecone is SOC2 Type II certified and HIPAA compliant, making it an enterprise-ready solution, fully managed in major clouds such as AWS, Azure, and GCP.
• Design and build scalable platform components leveraging advanced retrieval • Design and build optimized indexing pipelines for structured and unstructured data • Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration • Improve retrieval quality through evaluation and observability frameworks • Design APIs for internal and external users • Optimize latency, throughput, and cost across large-scale inference and retrieval workloads • Drive technical direction for reliability and security
• Proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems • Comfortable building high-throughput indexing pipelines that handle both structured and unstructured data • Experience in semantic search, vector databases, hybrid retrieval strategies, or traditional search engines like Elastic or OpenSearch • Understanding of Retrieval-Augmented Generation (RAG) patterns • Expert in at least one major language like Go, Rust, C++, Java, or Python • Familiarity with modern infrastructure tools like Kubernetes, Terraform or Pulumi • Ability to design clean, intuitive APIs • Comfortable in a high-growth environment
• Comprehensive health coverage including medical, dental, vision, and mental health resources • 401(k) Plan • Equity award • Flexible time off • Paid parental leave • Annual Company Retreat • WFH Equipment Stipend
Apply Now🕒 February 14
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