YOBI, LLC
Yobi
is a rapidly growing Behavioral AI company on a mission to
ethically democratize the benefits of data and AI . Since 2019, we have built one of the largest consented behavioral datasets in the United States, extending far beyond the walled gardens of Big Tech. Unlike traditional LLM companies,
Yobi builds foundation models of human behavior
grounded in real-world actions such as purchases and store visits. Our
private-by-design modeling
enables state-of-the-art personalization and decisioning for leading brands and agencies while protecting privacy, safety, and ethics. Today, we are focused on bringing the
performance of closed-web user acquisition
to the
open web and connected TV , giving brands walled-garden results without the walls. At our core,
Yobi is building the behavioral intelligence layer for any system that makes a personalization decision . Working at Yobi Were at an inflection pointcustomer adoption is accelerating, but theres still room to shape the architecture and culture from the ground up. Engineers here
own major surface areas ,
build 0?1 systems
in large-scale data and model infrastructure, and help define how
Behavioral AI
scales ethically and effectively. Highlights: Well-funded with 5+ years of runway. At the same time, we are scaling revenue quickly and project to be breakeven in 2026.
Partnerships with Microsoft and Databricks
Fully remote or hybrid from several hubs (SF Bay Area, Seattle, NYC)
World-class team of Machine Learning experts who worked on cutting edge infra and recommender systems @ Amazon, Uber, Twitter, Meta, etc.
Product and Go-To-Market teams who have taken ideas from concept to 9 figure revenue streams
Benefits: Competitive Base Salary
Meaningful equity & financial upside - a real % of the company
Annual bonus target based on personal and company performance
Health, Dental, Vision - most plans will pay little to 0 out of pocket
Unlimited PTO - we care about impact, not tracking days youre out
401k with company match %
About The Role
As the Lead Data Engineer at Yobi, you will be at the center of how data moves, scales, and powers our Behavioral AI products. You will be working on various virtual teams and projects, with an eye towards schema modeling, orchestration, abstractions, workload efficiency, reliability/observability, and so on. This is a hands-on engineering role. What it takes to succeed in this role:
You think in systems. Youre comfortable designing data workflows that balance clarity, modularity, and performance.
Youre flexible and opinionated. Youre familiar with many different patterns for instrumenting data pipelines - push based, pull based, eventually consistent, 1 job per partition, batch, streaming, etc. and know when to reach for different patterns.
Youre ready to influence and lead, aligning other flexible and opinionated engineers from other domains on the right conventions, abstractions, and strategy in an ambiguous and evolving environment.
You have the hard skills. While we are big believers in hire the person, not the specific language background, our current data stack is Delta Lake, Scala Spark, Python Spark, and Airflow - it would be great if you have direct experience with at least some of these.
You sweat the details .
Schema evolution, data contracts, dependency graphs, metadata tracking you know these are what make data reliable at scale.
Youre pragmatic - you know when to polish and when to just ship.
You care about performance. Wall clock time matters for us. Cost also matters for us. We think in many projects, there are opportunities to win on both, with the right data engineering.
We prioritize attitude, culture, and general (technical) fit over matching perfectly into one of our job descriptions. If our mission and work resonates with you, we encourage you to apply. Tell us how you can help drive our products forward, even if you dont feel like you are a perfect fit for some of the listings.
is a rapidly growing Behavioral AI company on a mission to
ethically democratize the benefits of data and AI . Since 2019, we have built one of the largest consented behavioral datasets in the United States, extending far beyond the walled gardens of Big Tech. Unlike traditional LLM companies,
Yobi builds foundation models of human behavior
grounded in real-world actions such as purchases and store visits. Our
private-by-design modeling
enables state-of-the-art personalization and decisioning for leading brands and agencies while protecting privacy, safety, and ethics. Today, we are focused on bringing the
performance of closed-web user acquisition
to the
open web and connected TV , giving brands walled-garden results without the walls. At our core,
Yobi is building the behavioral intelligence layer for any system that makes a personalization decision . Working at Yobi Were at an inflection pointcustomer adoption is accelerating, but theres still room to shape the architecture and culture from the ground up. Engineers here
own major surface areas ,
build 0?1 systems
in large-scale data and model infrastructure, and help define how
Behavioral AI
scales ethically and effectively. Highlights: Well-funded with 5+ years of runway. At the same time, we are scaling revenue quickly and project to be breakeven in 2026.
Partnerships with Microsoft and Databricks
Fully remote or hybrid from several hubs (SF Bay Area, Seattle, NYC)
World-class team of Machine Learning experts who worked on cutting edge infra and recommender systems @ Amazon, Uber, Twitter, Meta, etc.
Product and Go-To-Market teams who have taken ideas from concept to 9 figure revenue streams
Benefits: Competitive Base Salary
Meaningful equity & financial upside - a real % of the company
Annual bonus target based on personal and company performance
Health, Dental, Vision - most plans will pay little to 0 out of pocket
Unlimited PTO - we care about impact, not tracking days youre out
401k with company match %
About The Role
As the Lead Data Engineer at Yobi, you will be at the center of how data moves, scales, and powers our Behavioral AI products. You will be working on various virtual teams and projects, with an eye towards schema modeling, orchestration, abstractions, workload efficiency, reliability/observability, and so on. This is a hands-on engineering role. What it takes to succeed in this role:
You think in systems. Youre comfortable designing data workflows that balance clarity, modularity, and performance.
Youre flexible and opinionated. Youre familiar with many different patterns for instrumenting data pipelines - push based, pull based, eventually consistent, 1 job per partition, batch, streaming, etc. and know when to reach for different patterns.
Youre ready to influence and lead, aligning other flexible and opinionated engineers from other domains on the right conventions, abstractions, and strategy in an ambiguous and evolving environment.
You have the hard skills. While we are big believers in hire the person, not the specific language background, our current data stack is Delta Lake, Scala Spark, Python Spark, and Airflow - it would be great if you have direct experience with at least some of these.
You sweat the details .
Schema evolution, data contracts, dependency graphs, metadata tracking you know these are what make data reliable at scale.
Youre pragmatic - you know when to polish and when to just ship.
You care about performance. Wall clock time matters for us. Cost also matters for us. We think in many projects, there are opportunities to win on both, with the right data engineering.
We prioritize attitude, culture, and general (technical) fit over matching perfectly into one of our job descriptions. If our mission and work resonates with you, we encourage you to apply. Tell us how you can help drive our products forward, even if you dont feel like you are a perfect fit for some of the listings.