HQUS
Team Size10
Open Jobs10
Total Funding-
Latest FundraiseUnknown
What they do: Provide a production-ready memory layer that compresses and indexes conversational facts for LLM applications
Location & size: San Francisco; ~10 employees
Compliance & deployment: Advertises SOC 2 and HIPAA compliance with deploy-anywhere options
Funding signal: Raised $24M across Seed and Series A (Series A led by Basis Set Ventures)
AI infrastructure / memory for large language model applications
Artificial intelligence / AI infrastructure
Pre-seed recorded on company profiles
Series A recorded on company profiles; reporting combines seed + Series A into $24M total
“Seed led by Kindred Ventures; Series A led by Basis Set Ventures with participation from Peak XV Partners, GitHub Fund, and Y Combinator; additional angels listed”
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Role Summary:
Own the 0 1. You’ll turn vague customer use cases into working proofs-of-concept that showcase what Mem0 can do. This means rapid full-stack prototyping, stitching together AI tools, and aggressively experimenting with memory retrieval approaches until the use case works end-to-end. You’ll partner closely with Research and Backend, communicate trade-offs clearly, and hand off winning prototypes that can be hardened for production.
What You'll Do:
Minimum Qualifications
Nice to Have:
About Mem0
We're building the memory layer for AI agents. Think long-term memory that enables AI to remember conversations, learn from interactions, and build context over time. We're already powering millions of AI interactions. We are backed by top-tier investors and are well capitalized.
Our Culture
Compensation Range: $150K - $180K