
1 - 10 employees
Founded 2023
🏥 Healthcare
📣 Marketing
💼 Consulting
Healthcare • Marketing • Consulting
Mem0 is a universal, self-improving memory layer for large language model (LLM) applications that enables persistent, personalized context across AI interactions. It provides a memory compression engine to reduce token usage and latency, developer-friendly one-line installs and APIs, and enterprise features such as SOC 2/HIPAA compliance, BYOK, and on‑prem/private cloud deployment. Mem0 targets developers and enterprises building personalized AI experiences across healthcare, education, e-commerce, customer support, and sales, offering observability, traceability, and local-first options (OpenMemory) for consumer privacy.
🔥 12 hours ago
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1 - 10 employees
Founded 2023
🏥 Healthcare
📣 Marketing
💼 Consulting
Healthcare • Marketing • Consulting
Mem0 is a universal, self-improving memory layer for large language model (LLM) applications that enables persistent, personalized context across AI interactions. It provides a memory compression engine to reduce token usage and latency, developer-friendly one-line installs and APIs, and enterprise features such as SOC 2/HIPAA compliance, BYOK, and on‑prem/private cloud deployment. Mem0 targets developers and enterprises building personalized AI experiences across healthcare, education, e-commerce, customer support, and sales, offering observability, traceability, and local-first options (OpenMemory) for consumer privacy.
• Build the Mem0 Platform's product surface end to end across Next.js and Python • Design APIs, build user interfaces, write backend logic, own data models, and deploy features to production • Optimize latency, caching, and query patterns for scale and speed • Write tests, enforce typing and linting, review pull requests, and maintain clean, documented code • Collaborate with design on UX, research on new memory capabilities, and customers on requirements • Add observability, set alerts, debug production issues, and drive continuous improvements • Prioritize product work, make trade-offs explicit, and iterate based on data and feedback • Unblock teammates, learn new tools, and deliver effectively • Report directly to Deshraj Yadav, Co-founder and CTO, while working closely with the engineering team in San Francisco
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field • 3+ years of experience shipping full stack web applications at scale using Next.js/React and Python • Strong Python fundamentals and familiarity with modern web stacks (REST, Postgres, Redis, Celery or similar queues) • Solid front-end depth: component architecture, state management, forms, accessibility, SSR/ISR • Track record of owning features end to end, from design doc through rollout and post-launch iteration • Unit and integration testing, type safety (TypeScript, mypy or pyright), CI/CD, and code review practices • Comfortable operating production systems using logs, metrics, and tracing, and meeting low-latency requirements • Clear communication and ability to work across design, research, and GTM • Experience integrating LLM or memory features into products (RAG, embeddings, vector DBs) preferred • Experience with real-time features, file uploads, and background jobs at scale preferred • Infrastructure awareness including Docker, IaC, basic Kubernetes, Vercel, AWS or GCP deployment patterns preferred • Experience with Tailwind, design systems, charts, empty states, error UX, and performance budgets preferred • Security and privacy basics, including PII handling and audit logging, preferred • Prior experience at an early-stage startup, Series A, YC, or as a founding engineer preferred
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