Forward Deployed Engineer

Posted 2 Days Ago
7 Locations
In-Office or Remote
Mid level
Artificial Intelligence • Information Technology
The Memory layer for your AI apps and agents.
The Role
Embed with strategic customers to integrate Mem0 memory APIs into AI agents, prototype and productionize custom solutions, own technical relationships, troubleshoot production issues, build reusable tooling and reference implementations, and translate field learnings into product and research roadmap input.
Summary Generated by Built In
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 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.

Role Summary

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.

What You'll Do
  • 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.

What you'll bring
  • 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.

Nice to Have
  • 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.

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

Skills Required

  • 4+ years shipping production software
  • Strong Python fundamentals
  • Hands-on experience integrating APIs/SDKs into customer-facing systems
  • Comfortable working across the stack (APIs, data pipelines, some frontend)
  • Experience working directly with external customers in a technical capacity (solutions engineering, forward deployed engineering, technical consulting, or similar)
  • Strong communication skills across technical and non-technical audiences
  • Comfortable with ambiguity and fast-changing scope
  • Willingness to travel occasionally for onsite customer engagements
  • Onsite in San Francisco, CA (office-first, full-time)
  • 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
Am I A Good Fit?
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The Company
HQ: San Francisco, California
12 Employees
Year Founded: 2023

What We Do

The memory layer for Personalized AI

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