---
title: 'Full Stack Engineer at Mem0'
canonical: 'https://feeny.ai/job/full-stack-engineer-mem0-san-francisco-1hfprtqy5aeg'
type: 'job'
last_seen: '2026-09-09'
---

# Full Stack Engineer at Mem0

- **Company:** Mem0
- **Location:** San Francisco, CA
- **Compensation:** $150k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-14
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/mem0/642f00ec-c220-48a5-9a4d-4af67875032c

## Job description

## 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 for enterprise customers and an open-source community of 160,000+ developers. We're a Y Combinator-backed company that has raised a $24M Seed + Series A from top-tier investors.

This is a full-time, onsite role based in San Francisco, CA. You'll work closely with a highly technical team in person, where rapid collaboration and fast iteration are part of our culture.

This position reports directly to the CTO, making it a highly visible role with significant influence on product direction, engineering execution, and the future of the Mem0 platform.

## ROLE SUMMARY

Build the product surface of the Mem0 Platform, our memory infrastructure powering the next generation of AI agents.

You'll own features end to end across Next.js and Python, shipping quickly without compromising code quality, performance, or reliability. You'll partner closely with design, research, customers, and leadership to transform real-world problems into elegant, scalable product experiences.

This is an opportunity for an engineer who thrives on ownership, enjoys building across the stack, and wants to have an outsized impact on both the product and the company.

## WHAT YOU'LL DO

- Ship end-to-end features: Design APIs, build intuitive UIs, implement backend services, own data models, and deploy production-ready software.
- Build for scale and speed: Optimize latency, caching, database queries, and application performance to deliver fast, reliable user experiences.
- Own quality: Write comprehensive tests, maintain strong typing and linting standards, participate in thoughtful code reviews, and keep the codebase clean and maintainable.
- Collaborate deeply: Work closely with Design to craft exceptional UX, partner with Research to integrate cutting-edge memory capabilities, and engage directly with customers to refine requirements.
- Operate what you build: Implement observability, monitor production systems, troubleshoot issues, and continuously improve reliability and performance.
- Lead with product sense: Make thoughtful technical and product tradeoffs, prioritize effectively, and iterate based on user feedback and data.
- Go beyond your lane: Unblock teammates, embrace new technologies, and do whatever it takes to deliver exceptional outcomes.

## MINIMUM QUALIFICATIONS

- 5+ years of experience building and shipping production-grade full-stack applications at scale.
- Strong proficiency in Python and modern web application architecture.
- Experience building with Next.js, React, REST APIs, PostgreSQL, Redis, background job systems, and modern backend frameworks.
- Demonstrated track record of owning features end to end, from technical design through deployment and post-launch iteration.
- Strong engineering fundamentals with a focus on testing, CI/CD, type safety, maintainability, and code quality.
- Experience operating production systems using logging, metrics, tracing, and monitoring tools while meeting low-latency performance requirements.
- Excellent communication and collaboration skills with the ability to work cross-functionally across engineering, design, research, and go-to-market teams.
- Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent coursework and practical experience.

## NICE TO HAVE

- Experience building AI-native products using LLMs, RAG, embeddings, or vector databases.
- Familiarity with vLLM, model serving, or lightweight ML infrastructure.
- Experience building real-time applications using streaming, WebSockets, Server Actions, background jobs, or large-scale file processing.
- Infrastructure experience with Docker, Kubernetes, IaC, AWS, GCP, or Vercel.
- Strong product intuition with attention to UI polish, accessibility, design systems, and frontend performance.
- Understanding of security and privacy best practices, including PII handling and audit logging.

## OUR CULTURE

- Office-first collaboration

We're an in-person team based in San Francisco. Hallway conversations, whiteboard sessions, and spontaneous collaboration help us move faster and build better products than remote meetings alone.

- Velocity with craftsmanship

We move quickly without sacrificing engineering excellence. Every system we build should be fast, reliable, scalable, and thoughtfully designed.

- Extreme ownership

Everyone at Mem0 is a builder-owner. If you see a problem or opportunity, you're empowered to solve it. Titles matter less than impact.

- High bar, high trust

We hire exceptional people, give them autonomy, and hold ourselves to a high engineering standard. We challenge ideas, review code thoughtfully, and celebrate wins together.

- Data-driven, not ego-driven

The best ideas win regardless of where they come from. We rely on data, customer feedback, and thoughtful experimentation to guide decisions.

## BENEFITS & PERKS

- Health, dental & vision coverage - Comprehensive plans, fully covered for you (and subsidized for dependents)
- Lunch & dinner, on us - Daily meals catered in-office, because good food fuels good work
- Flexible PTO - Take the time you need to recharge, no rigid accrual counting
- Equity in an early-stage company - Real ownership in what you're building, not just a paycheck
- Regular team happy hours & events - Built into the culture, not an afterthought
- Top-tier equipment - The laptop and setup you need to do your best work

## About Mem0

## Company Overview
- **One-liner**: Mem0 provides a persistent memory layer for AI agents and applications, enabling LLMs to remember user interactions, preferences, and context across sessions.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2023
- **Founders**: Taranjeet Singh (CEO) and Deshraj Yadav (CTO)

## Core Business
- Primary industry: AI Infrastructure / Developer Tools
- Target customers: B2B, Enterprise teams building AI agents and applications
- Mission or purpose: To end AI's digital amnesia by making persistent memory standard infrastructure for every developer — as essential as a database.

## Products & Services
- **Mem0 Memory Layer**: An open-source, production-grade memory infrastructure that stores, compresses, and retrieves user context for AI agents. Uses a hybrid datastore architecture combining graph, vector, and key-value stores to organize memories (facts, relationships, and semantic context).
- **Memory Compression Engine**: Automatically condenses chat history into compact memories, reducing token usage and latency while preserving relevant context.
- **Enterprise Deployment**: Available on Kubernetes, private cloud, or air-gapped environments with the same API.

## Market Standing
- **Valuation/Funding**: Raised $24M total funding (led by Y Combinator, Peak XV, and Basis Set, per TechCrunch, October 2025) [ycombinator.com](https://www.ycombinator.com/companies/mem0)
- **Key Metric**: 58,000+ GitHub stars; 100,000+ developers using the platform; 486+ enterprise customers (as of mid-2025)
- **Notable Investors/Partners**: Y Combinator (Summer 2024 batch), Peak XV Partners, Basis Set; Primary Partner: Nicolas Dessaigne (YC)
- **Growth Signals**: Featured in TechCrunch and VentureBeat; SOC 2 (Type 1) and HIPAA compliant; rapidly expanding engineering team in San Francisco

## Competitive Advantages
- **Hybrid Datastore Architecture**: Combines graph, vector, and key-value stores in a single memory layer — a differentiated technical approach compared to single-store competitors.
- **Enterprise-Grade Compliance**: SOC 2 Type 1 and HIPAA certified, with BYOK and zero-trust architecture — rare for a young infrastructure startup.
- **Open Source with Governance**: Fully open-source core (58k+ GitHub stars) combined with enterprise controls, audit logging, and observability.
- **Benchmarked Performance**: Proven across LoCoMo, LongMemEval, and BEAM benchmarks with a single-pass hierarchical distillation approach.

## Strategic Focus
- Making memory infrastructure the default for every AI agent, analogous to how databases became standard for web applications.
- Expanding enterprise adoption through compliance (SOC 2, HIPAA) and deployment flexibility (air-gapped, private cloud).
- Growing the open-source community and developer ecosystem to drive adoption and network effects.

## Why Work Here
- **Culture**: Described as "shipping oriented" — focused on action, fast iteration, and delivering value over endless planning. Emphasis on honest feedback and moving fast together.
- **Engineering Focus**: Building infrastructure at scale (memory for AI agents) with a small, high-impact team (current headcount ~10). Engineers work on cutting-edge LLM and systems problems.
- **Remote/Hybrid Policy**: Based in San Francisco; roles listed as on-site (San Francisco).
- **Compensation**: Salary range listed for engineering roles is $150K - $250K (from YC profile).
- **Team Background**: Founders built EvalAI (used by the AI research community) and have experience at Tesla (Autopilot/FSD platform) and scaling GPT app stores to 1M+ users.
- **Open Roles** (as of mid-2025): Backend Engineer, Applied AI Engineer, Full Stack Engineer, Senior Research Engineer — all in San Francisco.

## Sources
1. [mem0.ai](https://mem0.ai/)
2. [mem0.ai/about-us](https://mem0.ai/about-us)
3. [mem0.ai/careers](https://mem0.ai/careers)
4. [jobs.ashbyhq.com/mem0](https://jobs.ashbyhq.com/mem0)
5. [ycombinator.com/companies/mem0](https://www.ycombinator.com/companies/mem0)

## Other roles at Mem0

- [Backend Engineer](https://feeny.ai/job/backend-engineer-mem0-india-wkk66hv1tw87) — India
- [Research Engineer - Agent Memory](https://feeny.ai/job/research-engineer-agent-memory-mem0-san-francisco-39wc5ny5n55r) — San Francisco, CA
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-mem0-san-francisco-3e6bgtm7n8xa) — San Francisco, CA
- [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-lightfeather-io-llc-united-states-vnwe11b43201) — United States
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