MINIMUM QUALIFICATIONS

• Proven ability to build and ship example apps and prototypes in Python and TypeScript/JavaScript.
• Hands-on with LLM/RAG workflows and vector databases enough to help devs succeed.
• Experience maintaining or significantly contributing to open source projects (issues/PR review, semver/releases, CONTRIBUTING/CODEOWNERS).
• Excellent written and verbal communication: clear tutorials, concise docs, and confident live demos.
• Comfortable supporting users in public channels (GitHub, Discord) and collaborating cross-functionally with Engineering and Research.
• Organized and bias-to-action: you can run a content calendar, ship on a schedule, and follow through on community threads.

ROLE SUMMARY:

Be the voice of Mem0 for developers—and the voice of developers inside Mem0. You’ll maintain our open-source repos, partner with builders in the wild, grow community and partnerships, and ship example apps that make it dead-simple to adopt Mem0 for AI agents and memory-centric workloads.

WHAT YOU’LL DO:

• Own the OSS repos: Triage issues, review PRs, label/roadmap, write release notes, keep CI green, and improve docs/examples.
• Support devs on GitHub & Discord: Reproduce bugs, provide fixes/workarounds, and turn recurring threads into docs and code samples.
• Build prototypes & sample apps: Show end-to-end Mem0 integrations (Python/JS SDKs, Next.js/React, Django/FastAPI) for common use cases.
• Create content that teaches: Tutorials, starter templates, blog posts, short videos/live demos, and talks that demystify memory & RAG.
• Grow partnerships: Co-build integrations and example apps with vector DBs, LLM providers, and tooling partners; drive co-marketing launches.
• Run community programs: Plan and host meetups, workshops, and online events focused on memory for AI agents; moderate and grow Discord.
• Be the feedback conduit: Synthesize developer pain points and usage signals, prioritize with Engineering/Research, and close the loop with contributors.
• Measure & iterate: Track repo health and community metrics (stars, issues time-to-first-response, adoption of examples) and improve them.