At 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 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, 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'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, 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 Performance team — the engineers and scientists who own advertiser outcomes at Vibe, from prediction models to bidding to the delivery stack that drives both. You'll report to the Head of Performance. This role exists because our modeling roadmap has outgrown our current bandwidth, and the scale and diversity of data available to us is about to grow significantly. CTV performance advertising is still being invented: cross-device attribution and identity graphs linking TVs to households look nothing like web display or search, so there's no playbook to copy — you'd be writing it. You'll work with data few others have, joining CTV signal with real-world purchase and behavioral data, which changes how we measure, attribute, and train. Vibe is growing fast enough that the model architecture is still yours to shape, and established enough that your work ships to real advertisers and shows up in the numbers within weeks.
What You'll Do
Own the Prediction Stack
Improve our unified multi-task model predicting visits, purchases, and other outcomes simultaneously
Design shared representations so model heads learn from each other across sparse conversion funnels
Take ideas from exploration to production: dataset design, architecture, training, and deployment
Debug production models for gradient issues, convergence failures, drift, and regression
Partner with Performance engineers building the serving and bidding infrastructure
Build the Data Foundation
Design new features from raw signal, including household-level features from our identity graph
Prepare the modelling stack to absorb new, richer data sources
Drive Business Impact
Optimize models for measurable advertiser uplift, not offline metrics that never ship
Ship changes to production, measure results, and adjust based on real outcomes
Hands-on deep learning experience shipped in a professional environment
Strong Python skills, with PyTorch preferred (TensorFlow or JAX also fine)
Experience diagnosing model failures: data leakage, bias, calibration, distribution shift
Ability to build algorithms from scratch and reason about what's happening under the hood
A track record of tying your modeling work to a specific business KPI you moved
Nice to Haves
Experience with massive-scale datasets — billions of impressions, events, or user records
Deep learning on tabular data and sparse user representations
Background in CTR/CVR prediction, recommendation systems, or identity graphs and cross-device attribution
Experience with production ML tooling: ONNX export, orchestration (Dagster), inference serving (Triton)
At Vibe, we run on three values: Impact, Ambition, and Urgency. We tie every goal to a real business outcome, think 10x rather than settling for good enough, and move daily rather than waiting for perfect conditions.
You'll thrive here if you own outcomes without needing direction, default to action, and hold yourself to results, not effort.
This is a high-performance environment with high-performance rewards: you'll work alongside people who push you, with real ownership over hard problems in a market that's moving fast.
If that sounds like the best version of your career, we want to meet you.
What We Offer
Pour les candidats basés en France, la rémunération est déterminée en fonction du marché local.
Chez Vibe, nous voulons que vous construisiez quelque chose, possédiez quelque chose, et progressiez vite. Voici comment nous le prouvons :
Variable pay — based on objectives you hit. No arbitrary targets.
Hybrid flexibility — We're in the Heart of Paris and our team is in 3x a week!
Health insurance — Full coverage via Alan.
Meal vouchers — Via Swile.
Annual offsite — The whole team, once a year, somewhere worth the trip.
Tech Syncs — Engineering and Product meet in person at least quarterly, worldwide.
Our Interview Process
We respect your time. Here's exactly what to expect — no surprises, no ghosting.
Recruiter screen — 30 min. We'll share context; you'll share yours.
Manager interview — Meet the person you'd work with directly.
Tech Interview — A real problem, not a trick. We'll work through it together.
Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar.
Offer — Fast. We don't let good decisions sit.
Reference checks — Two calls, handled with discretion.
Equal Opportunity
Vibe is an equal opportunity employer. We evaluate all applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
We believe the best ideas come from teams with different backgrounds, perspectives, and experiences. If you need a reasonable accommodation during the application or interview process, please let us know.
Referral Instructions
Being referred? Ask your contact to submit your application directly on your behalf.