Director of Data Engineering

Vibe
United States-RemotePosted 26 March 2026

Job Description

Director of Data Engineering DIRECTOR OF DATA ENGINEERING ABOUT VIBE At http://vibe.co/Vibe.co http://Vibe.co, we're reimagining how brands reach audiences in the age of streaming. We believe streaming TV is no longer just a brand awareness play — it's the next great performance marketing channel. We're building the infrastructure to unlock this $100B opportunity. Vibe.co http://Vibe.co provides an Audience First Streaming TV Advertising solution for marketers to unlock TV as a growth channel. Our all-in-one solution combines hyper-targeted audience segmentation, AI-powered insights and recommendations, real-time campaign optimization, and incrementality measurement — giving brands of all sizes the precision and transparency they've come to expect from social and search, but on TV. Trusted by over 10,000 brands, http://vibe.co/Vibe.co http://Vibe.co reaches more than 120 million households across 500+ apps and channels, delivering an average 250% return on ad spend and 20% sales lift. The company hit a $100 million revenue run rate in under two years, ranking among the ten fastest software companies to reach that milestone. Vibe.co http://Vibe.co's investors include Hedosophia (an early backer of Spotify, Uber, and Airbnb), Elaia, Singular, QuantumLight (Revolut CEO Nik Storonsky's fund), and Illusian (Supercell CEO Ilkka Paananen's fund), as well as angel investors including Carolyn Everson, board member of The Walt Disney Company and Coca-Cola. Nirav Tolia, CEO of Nextdoor, sits on the company's board of directors. Founded in 2022, http://vibe.co/Vibe.co http://Vibe.co is widely recognized as the category-defining platform in streaming TV advertising, bringing the power of Meta and Google-style performance marketing to the fastest-growing segment in media. ABOUT THE ROLE You'll join the Engineering org as the chief architect of Vibe's entire data ecosystem — owning the infrastructure that ingests terabytes of data daily, governs it, and serves it to our Analytics, ML, and Product teams. This role exists because Vibe is making the leap from startup speed to enterprise trust. We're building Nebula — our proprietary identity graph and data interoperability layer — and standing up the ML platform that powers real-time bidding at scale. We need someone who can architect both, and bring the team along for the ride. Three reasons a great candidate should care: - You'll architect something rare. Nebula is a genuinely hard problem — identity resolution, data clean rooms, privacy-safe partner data exchange. You won't find work like this everywhere. - The timing is right. We're at the inflection point between scrappy and scalable. You'll shape how a category-defining company builds its data foundation — before the patterns are set. - You'll have real ownership. P&L responsibility, architectural authority, and a direct line to the CTO and VP Product. Your decisions will ship. WHAT YOU'LL DO Architect the data platform - Own the technical design of Nebula — Vibe's identity graph, entity resolution pipelines, and data clean room integrations with partners including major broadcasters - Define the end-to-end data architecture serving Analytics, ML, and real-time bidding systems - Solve training vs. inference skew: ensure data used to train models matches data available at bid time Build the ML infrastructure - Design and ship the ML platform — feature stores, model registries, and CI/CD for ML — so data scientists can deploy models to production without infrastructure blockers - Own the "golden path": a data scientist pushes code, a model retrains and deploys automatically - Bridge the gap between Data Engineering and Data Science; remove friction, not just document it Lead governance without slowing people down - Champion the transition to a security-first culture — SOC2, RBAC, PII anonymization — without turning compliance into a bottleneck - Build guardrails, not gatekeepers: automated policy checks that let en ... (truncated, view full listing at source)
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