USD per year
About the role
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.
How we work
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.
What you'll do
- Own the technical outcome for our largest accounts, from the first architecture conversation through 90 days in production.
- Write code. Integration work, reference architectures, deployment tooling, and fixes in the product itself.
- Deploy Zep inside customer infrastructure across Managed, BYOK, and BYOC, and work directly with the platform and security teams who have to approve it.
- Define the engagement model. Decide which accounts get embedded support, and set how that work is scoped and priced.
- Hire the team. You define the bar and lead the engineers you bring in.
- Reduce the custom work each deployment takes. What you build twice becomes a reference architecture or a product requirement.
- Take what you learn in production back into the roadmap. You will be in planning with the engineers who can act on what you bring.
Your first 90 days
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.
Zep builds infrastructure that lets AI agents remember and reason across every source they touch: chat, documents, events, business data. They provide persistent memory for AI agents with temporal context graphs tracking facts across time. Zep manages, governs, and serves agent memory at enterprise scale. Enterprises use Zep to run reliable, personalized agents across the business with millions of Context Graphs served in under 200ms inside their own VPCs and cloud deployments. Customers include Samsung, Zscaler, Twin Health, HoneyBook, NASDAQ 100 and Fortune 500 technology companies. They also build Graphiti, an open-source context graph framework with 30K+ GitHub stars. Backed by investors including Root Ventures, Y Combinator, Engineering Capital, plus angels from Vercel, Google, Airtable.
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