Developer Advocate at Pinecone
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Job Description
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Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide.
About the Team and Role:
We’re hiring a Developer Advocate to own the Pinecone community—online and in-person—with a particular focus on building a strong SF/Bay Area presence. This role is for a senior, hands-on technical communicator who can build developer relationships at scale, run high-signal programs, and translate community needs into product feedback and compelling learning experiences.
To succeed in this role, you must be able to build and teach with Pinecone’s AI products—showing developers how to create reliable, scalable AI applications where knowledge and retrieval are central. You’ll translate best practices into practical learning experiences through tutorials, short-form videos, docs contributions, hackathon mentorship, and social posts. Because the team and customer base are scaling quickly, you should be comfortable operating with high autonomy and strong judgment in a fast-paced environment.
If you’re excited about:
Learning new technologies and helping others succeed with that technology.
Playing a central role in an exciting and rapidly expanding community.
Shaping the course of a fast-growing company and product category.
Working with colleagues who value clarity, creativity, passion, initiative, and thoughtfulness.
Responsibilities:
Community Programs (Global)
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).
Events (SF/Bay Area)
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.
Technical content + assets
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.
Requirements:
2+ years of experience in a technical role such as software engineering, solution engineering, or machine learning.
Proficient in 2+ programming languages.
Owned and grown a technical developer community.
Ran in-person developer events end to end.
Shipped demos and sample code and taught them clearly.
Strong writing and live speaking and Q&A.
Fluent in LLM apps and RAG and strong API instincts.
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Pinecone
View Company ProfilePinecone (operating at pinecone.io) is a premier vector database and knowledge infrastructure platform engineered to power high-performance, real-time retrieval-augmented generation (RAG), semantic search, and AI agent memory at global scale. Founded in 2019 by former AWS and Yahoo AI research director Edo Liberty and led by CEO Ash Ashutosh, San Francisco-headquartered Pinecone replaces complex, self-hosted open-source vector search clusters with a fully managed, serverless database architecture. Under the hood, Pinecone enables engineering teams to index, filter, and search multi-dimensional vector embeddings with ultra-low latency, high recall, and instant updates without managing underlying index maintenance or infrastructure overhead. Backed by $138M in total venture funding from Andreessen Horowitz, ICONIQ Growth, Menlo Ventures, and Wing Venture Capital, Pinecone serves thousands of enterprises and developers building context-aware generative AI applications and agentic intelligence workflows.
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