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 150,000+ 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.
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.
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.
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.
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.
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.
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
We're building the memory layer for AI agents: long-term memory that lets AI remember conversations, learn from interactions, and build real context over time, the difference between a chatbot and something that actually knows you. We're already powering millions of AI interactions for enterprise customers and a fast-growing open-source community (150k+ developers and counting). We're backed by top-tier investors through a $24M Series A & Seed, early enough that the systems you build now become the foundation everything else is built on.
WHY THIS ROLE
Every AI agent today forgets you the moment the session ends. We're fixing that, and you'd be one of the people building the models that decide what an AI remembers, forgets, and learns over time. This isn't research bolted onto a product team: you'll take an idea from a paper on Monday to an A/B test in production within weeks, with millions of real interactions to learn from. If you want your fine-tuning runs to ship, not sit in a notebook, this is that role.
You'll own memory features end-to-end: fine-tune models for extraction, updates, consolidation/forgetting, and dreaming; turn real customer pain points into research hypotheses; implement and benchmark ideas straight out of the literature; and ship them with Engineering at SOTA latency, reliability, and cost. You'll build evaluation at scale, offline metrics and online A/Bs, and close the loop with production feedback to keep pushing quality forward.
This role reports directly to our CTO and is based in-office in San Francisco.
WHAT YOU'LL DO
Train models: Memory extraction, updates, consolidation/forgetting, and conflict resolution, iterating fast on real data and real outcomes.
Live at the research frontier: Turn paper ideas into working prototypes in days, benchmark them honestly against baselines, and productionize the ones that actually win.
Build the evaluation layer: Automated relevance/accuracy/consistency metrics, gold sets, online A/B and interleaving tests, and dashboards people actually check.
Get close to the problem: Uncover what's actually breaking for customers, turn it into a testable hypothesis, and validate it through real field trials.
Ship it for real: Design APIs and data contracts, plan safe rollouts, and hit SOTA latency, reliability, and cost, with Engineering, not over the wall from them.
WHAT YOU'LL BRING
Experience in RAG or information retrieval (retrieval, ranking, query understanding) for real products.
Model training/fine-tuning experience (LLMs/encoders) with a strong footing in experimental design and iteration.
Strong Python; deep experience with PyTorch and familiarity with vLLM and modern serving frameworks.
Built evaluation for complex language and/or retrieval and generation tasks (gold sets, offline metrics, online tests).
Able to orchestrate data pipelines to run these models in production with low-latency SLAs (batch + streaming).
Clear, concise communication with stakeholders (engineering, product, GTM, and customers).
NICE TO HAVE
Publications at venues like NeurIPS, ICML, ACL, etc.
Experience with privacy-preserving ML (redaction, differential privacy, data governance).
Deep familiarity with memory/retrieval literature or prior work on memory systems.
Expertise with embeddings, vector-DB internals, deduplication, and contradiction detection.
OUR CULTURE
Office-first collaboration: We're an in-person team in San Francisco. Hallway chats, impromptu whiteboard sessions, and shared meals spark ideas that remote calls can't.
Velocity with craftsmanship: We build for the long term, not just shipping features. We move fast but never sacrifice reliability or thoughtful design.
Extreme ownership: Everyone at Mem0 is a builder-owner. If you spot a problem or opportunity, you have the agency to fix it. Titles are light; impact is heavy.
High bar, high trust: We hire for talent and potential, then give people room to run. Code is reviewed, ideas are challenged, and wins are celebrated, always with respect and curiosity.
Data-driven, not ego-driven: The best solution wins, whether it comes from a founder or an engineer who joined yesterday. We let results and metrics guide our decisions.
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
Join us in building the memory layer for the AI era.
","descriptionPlain":"ABOUT MEM0\n\nWe're building the memory layer for AI agents: long-term memory that lets AI remember conversations, learn from interactions, and build real context over time, the difference between a chatbot and something that actually knows you. We're already powering millions of AI interactions for enterprise customers and a fast-growing open-source community (150k+ developers and counting). We're backed by top-tier investors through a $24M Series A & Seed, early enough that the systems you build now become the foundation everything else is built on.\n\nWHY THIS ROLE\n\nEvery AI agent today forgets you the moment the session ends. We're fixing that, and you'd be one of the people building the models that decide what an AI remembers, forgets, and learns over time. This isn't research bolted onto a product team: you'll take an idea from a paper on Monday to an A/B test in production within weeks, with millions of real interactions to learn from. If you want your fine-tuning runs to ship, not sit in a notebook, this is that role.\n\nYou'll own memory features end-to-end: fine-tune models for extraction, updates, consolidation/forgetting, and dreaming; turn real customer pain points into research hypotheses; implement and benchmark ideas straight out of the literature; and ship them with Engineering at SOTA latency, reliability, and cost. You'll build evaluation at scale, offline metrics and online A/Bs, and close the loop with production feedback to keep pushing quality forward.\n\nThis role reports directly to our CTO and is based in-office in San Francisco.\n\n\n\nWHAT YOU'LL DO\n\n - Train models: Memory extraction, updates, consolidation/forgetting, and conflict resolution, iterating fast on real data and real outcomes.\n\n - Live at the research frontier: Turn paper ideas into working prototypes in days, benchmark them honestly against baselines, and productionize the ones that actually win.\n\n - Build the evaluation layer: Automated relevance/accuracy/consistency metrics, gold sets, online A/B and interleaving tests, and dashboards people actually check.\n\n - Get close to the problem: Uncover what's actually breaking for customers, turn it into a testable hypothesis, and validate it through real field trials.\n\n - Ship it for real: Design APIs and data contracts, plan safe rollouts, and hit SOTA latency, reliability, and cost, with Engineering, not over the wall from them.\n\nWHAT YOU'LL BRING\n\n - Experience in RAG or information retrieval (retrieval, ranking, query understanding) for real products.\n\n - Model training/fine-tuning experience (LLMs/encoders) with a strong footing in experimental design and iteration.\n\n - Strong Python; deep experience with PyTorch and familiarity with vLLM and modern serving frameworks.\n\n - Built evaluation for complex language and/or retrieval and generation tasks (gold sets, offline metrics, online tests).\n\n - Able to orchestrate data pipelines to run these models in production with low-latency SLAs (batch + streaming).\n\n - Clear, concise communication with stakeholders (engineering, product, GTM, and customers).\n\nNICE TO HAVE\n\n - Publications at venues like NeurIPS, ICML, ACL, etc.\n\n - Experience with privacy-preserving ML (redaction, differential privacy, data governance).\n\n - Deep familiarity with memory/retrieval literature or prior work on memory systems.\n\n - Expertise with embeddings, vector-DB internals, deduplication, and contradiction detection.\n\nOUR CULTURE\n\n - Office-first collaboration: We're an in-person team in San Francisco. Hallway chats, impromptu whiteboard sessions, and shared meals spark ideas that remote calls can't.\n\n - Velocity with craftsmanship: We build for the long term, not just shipping features. We move fast but never sacrifice reliability or thoughtful design.\n\n - Extreme ownership: Everyone at Mem0 is a builder-owner. If you spot a problem or opportunity, you have the agency to fix it. Titles are light; impact is heavy.\n\n - High bar, high trust: We hire for talent and potential, then give people room to run. Code is reviewed, ideas are challenged, and wins are celebrated, always with respect and curiosity.\n\n - Data-driven, not ego-driven: The best solution wins, whether it comes from a founder or an engineer who joined yesterday. We let results and metrics guide our decisions.\n\n\n\n\nBENEFITS & PERKS\n\n - Health, dental & vision coverage- Comprehensive plans, fully covered for you (and subsidized for dependents)\n\n - Lunch & dinner, on us: Daily meals catered in-office, because good food fuels good work\n\n - Flexible PTO: Take the time you need to recharge, no rigid accrual counting\n\n - Equity in an early-stage company- Real ownership in what you're building, not just a paycheck\n\n - Regular team happy hours & events - Built into the culture, not an afterthought\n\n - Top-tier equipment - The laptop and setup you need to do your best work\n \n \n\nJoin us in building the memory layer for the AI era."},{"id":"5fdf00fb-0046-4731-85f3-c27d796c7c7e","title":"Forward Deployed Engineer ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco Bay Area","secondaryLocations":[],"publishedAt":"2026-07-16T22:39:33.516+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/mem0/5fdf00fb-0046-4731-85f3-c27d796c7c7e","applyUrl":"https://jobs.ashbyhq.com/mem0/5fdf00fb-0046-4731-85f3-c27d796c7c7e/application","descriptionHtml":"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 150,000+ 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, sitting inside Engineering with a mandate to bring memory infrastructure directly into customers' hands and feed the field's hardest problems back into the core product.
Sit at the intersection of Engineering and customers. You'll embed with Mem0's most strategic accounts, build the integrations and custom solutions that prove out the value of memory in production, and translate what you learn in the field into requirements for Product and Research. This is a high-ownership role for an engineer who wants to see their code run in a real customer's stack within days, not quarters.
Embed with customers post-sale to design, build, and ship integrations of Mem0's memory APIs into their AI agents and products.
Rapidly prototype and productionize custom solutions that unblock high-value customers, from retrieval configuration to full pipeline builds.
Own the technical relationship with strategic accounts: troubleshoot production issues and act as the technical escalation point.
Translate field learnings into roadmap input: identify recurring integration gaps and bring them back to Engineering and Research.
Build reusable tooling, sample apps, and reference implementations that shrink time-to-value for the next customer.
Partner with Sales and Customer Success on scoping, technical wins, and expansion opportunities.
4+ years shipping production software, with hands-on experience integrating APIs/SDKs into customer-facing systems.
Strong Python fundamentals; comfortable working across the stack (APIs, data pipelines, some frontend) to unblock a customer.
Experience working directly with external customers in a technical capacity: solutions engineering, forward deployed engineering, technical consulting, or similar.
Comfortable with ambiguity and fast-changing scope; you thrive when dropped into a new problem with little context.
Strong communication skills across technical and non-technical audiences.
Willingness to travel occasionally for onsite customer engagements.
Experience with LLM-based agents, RAG, embeddings, or vector databases.
Background in solutions engineering, forward-deployed engineering, or professional services at an infrastructure or API company.
Experience building demos or POCs under time pressure.
Familiarity with observability and monitoring tooling for production systems.
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.
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
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 150,000+ 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 co-founder leading Growth & Community, with close day-to-day partnership with Engineering and Product.
Own developer experience and community growth for Mem0's open-source project and API platform. You'll be the primary voice between Mem0 and the 150,000+ developers already using our open-source memory layer, creating the content, code, and relationships that turn curious developers into engaged users and advocates.
Create technical content: tutorials, sample apps, blog posts, and docs that get developers from signup to production fast.
Grow and nurture the open-source community across GitHub, Discord, and forums; triage issues and PRs, and spotlight community contributions.
Represent Mem0 externally at conferences, meetups, and hackathons, including giving talks and running workshops.
Build and maintain integration guides and quickstarts across popular frameworks (LangChain, CrewAI, and others).
Gather developer feedback and feed it directly into the product and research roadmap.
Partner with Product and Marketing to plan launches, changelogs, and community campaigns.
4+ years in developer relations, developer marketing, or a hands-on software engineering role with strong communication skills.
Able to write and ship code: comfortable building demos and sample apps in Python and/or JS/TS.
A track record of creating technical content (blog posts, docs, videos, talks) that developers actually use.
Experience engaging with open-source communities (GitHub issues/PRs, Discord, forums).
Comfortable being the public face of the company: on stage, on camera, and in writing.
Excellent written and verbal communication skills.
Experience with LLMs, RAG, agents, or memory/retrieval systems.
An existing following or credibility in the AI/ML developer community.
Experience running or growing a Discord/Slack developer community.
Video editing or livestreaming experience.
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.
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