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Zep AI (YC W24) Is Hiring a Head of Forward Deployed Engineering

read original get Designing Data-Intensive Applications by Martin Kleppmann → more articles
Why This Matters

Zep, a YC W24 startup serving agent memory infrastructure to enterprises like Samsung, Zscaler and Fortune 500s, is hiring a solo marketer expected to use AI agents to do the work of an entire team. It's a concrete example of how AI-native startups are restructuring headcount: founders set strategy, agents produce, one human runs distribution. The listing also reflects a shift in B2B discovery, where buyers and their coding agents query Claude and ChatGPT before Google.

Key Takeaways
Worth a Look

Designing Data-Intensive Applications by Martin Kleppmann — If Zep's pitch about serving millions of context graphs in under 200ms inside enterprise VPCs sparked your curiosity, this is the book that explains how systems like that actually get built. Kleppmann's classic walks through storage engines, graphs, replication, and distributed system tradeoffs in plain language, making it a favorite for engineers moving into infrastructure and AI-memory work.

See Designing Data-Intensive Applications by Martin Kleppmann on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.

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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.

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

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