Pinecone jobs
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Senior Product Manager - Cloud Workload & Database Protection (AI Platforms, Vector & NoSQL)
Commvault Systems Inc - United StatesIndexed from Greenhouse Benefit evidence checked Jun 13, 2026 Comp disclosed in postingposted 64 days agoWhy we showed this
Description: "pinecone"Description: semantic match+2
Senior Product Manager - Cloud Workload & Database Protection (AI Platforms, Vector & NoSQL) United States Recruitment Fraud Alert We've learned that scammers are impersonating Commvault team members-including HR and leadership-via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What to know: - Commvault does not conduct interviews by email or text. - We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at [email protected] About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks - keeping data safe and businesses resilient. The company's unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. The Opportunity... Commvault is looking for a Senior Product Manager to define and deliver the next generation of data protection for modern cloud database and AI workloads. In this role, you'll drive product strategy, direction, and execution for Commvault data protection solutions that safeguard cloud AI platforms and services (e.g., Amazon SageMaker, Amazon Bedrock), vector databases (e.g., Pinecone and others), and NoSQL databases across on-prem and public cloud environments.
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Senior/Software Engineer, AI-Powered Advertising Agents
Pubmatic INC - Pune, INIndexed from Greenhouse Benefit evidence checked Jun 13, 20265 days agoWhy we showed this
Description: "pinecone"Description: semantic match+2
Senior/Software Engineer, AI-Powered Advertising Agents Pune, IN About the Role PubMatic is looking for engineers with expertise in Generative AI and AI agent development. You will be responsible for building and optimizing advanced AI agents that leverage the latest technologies in Retrieval-Augmented Generation (RAG), vector databases, and large language models (LLMs). You will work on developing state-of-the-art solutions that enhance Generative AI capabilities and enable our platform to handle complex information retrieval, contextual generation, and adaptive interactions. What You'll Do: Provide technical leadership and mentorship to engineering teams while collaborating with architects, product managers, and UX designers to create innovative AI solutions that address complex customer challenges. Lead the design, development, and deployment of AI-driven features. Drive end-to-end ownership-from feasibility analysis and design specifications to execution and release-while ensuring quick iterations based on customer feedback in a fast-paced Agile environment. Spearhead technical design meetings and produce detailed design documents that outline scalable, secure, and robust AI architectures. Ensure that the solutions are aligned with long-term product strategy and technical roadmaps. Implement and optimize LLMs for specific use cases, including fine-tuning models, deploying pre-trained models, and evaluating their performance. Develop AI agents powered by RAG systems, integrating external knowledge sources to improve the accuracy and relevance of generated content. Design, implement, and optimize vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient and scalable vector search, and work on various vector indexing algorithms. Create sophisticated prompts and fine-tune them to improve the performance of LLMs in generating precise and contextually relevant responses.
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