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Marlo is the intelligence layer for the creator economy. We are building an agentic operating system that moves beyond simple organization to live deal execution. By bridging unstructured communication with deep industry context, Marlo acts as an autonomous teammate for the world’s most ambitious talent agencies.
We’ve spent the last few months deploying in-production with elite agencies, proving that the future of media won't be run on email threads and spreadsheets, but on high-reliability AI systems.
Marlo is the intelligence layer for the creator economy. We are building an agentic operating system that moves beyond simple organization to live deal execution. By bridging unstructured communication with deep industry context, Marlo acts as an autonomous teammate for the world’s most ambitious talent agencies.
We’ve spent the last few months deploying in-production with elite agencies, proving that the future of media won't be run on email threads and spreadsheets, but on high-reliability AI systems.
We’re looking for an engineer to build the core systems powering the future of creator work. This is a full-stack role with a backend tilt, where you’ll own systems end-to-end—from durable Gmail ingestion pipelines to LLM-based decision engines.
Scale the intelligence layer: Partner with the CTO to evolve our backend architecture to a stateful, proprietary representation of the talent ecosystem
Engineer agentic workflows: Architect resilient, multi-step AI agents that can navigate complex brand negotiations using reasoning, tool-use, and multi-step decision-making
Build self-learning feedback loops: Design infrastructure to capture human-in-the-loop signals, turning every user interaction into data that improves our model performance
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Solve tough integration problems: Architect robust, fault-tolerant consumers for the volatile APIs (Google, TikTok, IG) that serve as our primary data streams
AI operating system for talent managers in the creator economy.
Visit company websiteJobs and hiring trendsUSD 140000-200000 yearly / year
Full-time
Mid · 3+ years experience
Onsite
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