
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 Samsung, Zscaler, Twin Health, HoneyBook, and NASDAQ 100 and Fortune 500 technology companies. We also build Graphiti, our open-source context graph framework (30K+ GitHub stars).
You will own how engineering leaders and developers find Zep, understand it, and decide to build on it: search and answer engines, the blog and website, email, and social. The founders set the content strategy and agents do the production work. You run publication and the campaigns around it.
We're hiring a marketer who runs enterprise B2B demand generation alone and uses agents to do the work of a team. There is no marketing team to inherit and none to manage.
We will measure you on signups and on the pipeline your campaigns produce.
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 by publishing. By day 30 the blog and social cadence is running on an agent pipeline you built. By day 60 the funnel is measured from first touch to signup and you have a search and answer engine baseline to move. By day 90 you own the demand generation number and have a roadmap you can defend.
Useful, not required: prior marketing at a dev tools, infrastructure, or AI company. SEO and AEO experience grounded in tests rather than theory. Paid acquisition. Familiarity with agent frameworks, retrieval, or graph databases.
Platinum medical, dental, and vision insurance. 401K with employer matching. Unlimited PTO. Flexible in-office culture in San Francisco, with remote options and periodic travel for team members outside the Bay Area.
We respect your time and keep our interview process tight and focussed.
Screening Call (w/ Daniel, our Founder) → Team Calls (2-3 hours back-to-back, includes a portfolio walkthrough) → Decision Call (Daniel, again)
Pick one campaign or content program you ran end to end. What pipeline did it produce, and what would you cut next time? (150 words or fewer.)
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.