Pinecone

• Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform for agentic workflows to build on. • Ship end-to-end experiences across API, SDK, CLI, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it. • Build systems that multiply team output. We care about what ships, not how many hours went into it. Design AI-powered workflows, automated quality gates, and high-leverage platform capabilities that let a small team move at a pace that would otherwise require 10x the headcount. • Set the standard for AI-assisted development on the team. Use the best tools available — Claude Code, Cursor, or whatever works — and help establish patterns that make the whole team faster. • Collaborate with product, design, and engineering to identify what users (and agents) actually need and build it at the right abstraction level, at the right time. • Build observable, auditable systems with monitoring, alerting, and verification mechanisms — because in a high-velocity environment, you need systems that tell you when something's wrong.

About Pinecone Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience Platform team is looking for a full-stack/backend software engineer who’s excited to build foundational product systems that will scale with Pinecone’s rapid growth. You will have a wide scope of responsibility and ownership over delivering an exceptional user experience, from data and server architecture to API design and UI development. For this role, we’re looking for someone who can dive into our metering and data pipelines to increase scalability, reliability, and performance. As a new team at Pinecone, we have a strong mandate to deliver a world-class product experience for our users across a wide range of domains, including authentication, observability, usage metering, and growth initiatives. Our mission is to accelerate product development and user acquisition through high-leverage platform capabilities. The team is small and authors primarily in Typescript and Rust. We work very closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. We need someone who isn’t satisfied until their work has had a measurable impact on our users and who’s willing to reach across the stack to find opportunities for innovation. Responsibilities: Design event-driven architectures and distributed systems for reliable real-time and batch event processing. Develop queueing and streaming systems (e.g., Kafka, Kinesis) with robust event handling mechanisms. Build pipelines for ingesting, transforming, and aggregating usage data, ensuring accuracy and reliability. Integrate with external APIs and vendor systems, designing for resiliency against outages or inconsistent data. Create auditable and observable systems with monitoring, alerting, and verification mechanisms. Implement end-to-end user experiences across multiple services and web applications Requirements: Perks & Benefits: 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 All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

• 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

• Evaluate and implement state of the art AI, IR, and search techniques into Pinecone’s knowledge products. • Improve and invent new AI, IR, and search features and capabilities. • Present and educate your team, our customers, and the community. • Consume state-of-the-art literature and learn about SOTA AI, IR, and search. • Collect data, train models, run evaluations, and present findings. • Implement POCs of new features and capabilities into the products. • Publish and present technical reports, blog posts, and academic papers.

• Lead and grow Pinecone’s Discord: drive engagement, improve onboarding, set norms, and keep the space high-signal. • Run recurring office hours that consistently help developers unblock, learn best practices, and ship. • Support and scale community programs that create real builder outcomes (templates, challenge weeks, help channels, expert AMAs). • Own Pinecone’s SF-area community presence: local meetups, hackathons, and larger Bay Area events. • Develop event programming (themes, speaker selection, talks/workshops), run promotion and attendance growth, and ensure each event produces reusable assets and follow-on engagement. • Create and maintain hands-on technical assets (sample apps, demos, code walkthroughs) aligned to Pinecone’s core developer use cases: RAG systems and retrieval quality, Knowledge management patterns using Assistant and other incubating products, Platform/infra patterns for scale and reliability. • Publish content across Pinecone channels and external platforms, grounded in what the community is actually trying to build.