
Agent Context Is Hard. We Fixed It.
Zep manages, governs, and serves agent memory at enterprise scale. Enterprises build on Zep to run reliable, personalized agents across the business: millions of Context Graphs, served in under 200ms, inside their own VPCs and cloud deployments. Customers include Zscaler, Samsung, Twin Health, HoneyBook, and NASDAQ 100 and Fortune 500 technology companies. We also build Graphiti, our open-source context graph framework (30K+ GitHub stars). Getting Zep into production in customer environments is its own engineering problem, and you own it.
You will lead our deployments and build the team that runs them. The first year is hands-on. You will be in architecture reviews and in our codebase, and on site when a deployment needs you. Our engineers work deployments alongside you, so you are never the only technical person on the call.
We're hiring an engineer and leader who has done this work and can now set the standard for how we do it.
This is note a core product engineering role. You should have significant customer-facing experience in an FDE, sales engineering, or field engineering role.
We will measure you on time from signature to production, and on custom engineering per deployment.
You’ll report to our founder, Daniel (2x founder, engineer, former head of ML at SparkPost), and join a team with pedigree at Scale AI, Dropbox, ActiveCampaign, DroneDeploy, and McKinsey.
We're a small, distributed team that works closely together. We pair on hard problems, review each other's designs, and treat learning as part of the job rather than something that happens after hours. We ask a lot of questions: of customers, of teammates, of our own assumptions. When we find pain, we go fix it.
We expect the same back: ask questions early, push back when you disagree, and care about the people on the other end of the API.
You start inside a live deployment: shipping code, meeting the customers we already serve, and learning how Zep runs in their environments. By day 60 you own every active deployment. By day 90 you have written the first version of the engagement model.
We respect your time and keep our interview process tight and focussed.
Zep is the context engineering platform for AI agents. We solve one of the hardest problems in production AI: getting the right context to agents at the right time. Our platform builds context graphs from conversations and business data, then assembles personalized, token-efficient context with sub-200ms retrieval. Three lines of code to production.
We're a seed-stage company (YC W24) with 50% month-over-month ARR growth, 240+ customers including Fortune 500s, and a well-capitalized balance sheet. Graphiti, our open-source temporal context graph engine, has 24,000+ GitHub stars and is becoming foundational infrastructure for agent memory.