Director of Data Engineering

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.

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.

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 engineers ship fast and safely

• Own data retention policies, access controls, and governance frameworks across 200+ data assets

Own infrastructure economics

• Hold the Data Platform P&L — track unit economics, separate storage costs from ML training costs, and ensure spend scales with revenue rather than ahead of it

• Optimise across a hybrid stack: high-volume streaming (Kafka/Kinesis), log storage (S3/Athena), and GPU compute for ML training

• Identify waste fast; distinguish inefficiency from intentional growth investment

Lead the team

• Manage and grow the Data Platform Engineering team

• Assess current team capabilities against what's needed to ship Nebula and the ML platform

• Build a culture where engineers adopt structure because it makes them faster, not because they're told to

• Hands-on experience architecting large-scale data platforms — you've designed systems ingesting TBs of data, not just managed teams that did

• Deep knowledge of data governance and compliance frameworks — CCPA, GDPR, SOC2 — and a track record of implementing them without killing engineering velocity

• Experience with identity resolution, device graphs, or privacy-safe data matching (clean rooms, entity resolution)

• Strong understanding of the ML lifecycle: data prep, training, deployment, monitoring — and the infrastructure that makes it work at scale

• Experience owning cloud infrastructure costs and optimising unit economics across AWS or GCP

• Prior experience in a regulated data environment — you understand publisher contracts, DPAs, and what data you can and cannot use

• Hands-on experience with clean room technologies (Snowflake Data Clean Rooms, AWS Clean Rooms, LiveRamp Safe Haven, or similar)

• Familiarity with MLOps tooling — feature stores (Feast, Tecton), model serving (SageMaker, Ray Serve), orchestration (Airflow, Dagster)

• Background in streaming TV, connected TV, or programmatic advertising infrastructure

• Experience leading a technical team through a SOC2 certification process

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.

Chez Vibe, nous voulons que vous construisiez quelque chose, possédiez quelque chose, et progressiez vite. Voici comment nous le prouvons :

• Equity — Employee Stock Ownership Plan. You're building this; you should own part of it.

• 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.

We respect your time. Here's exactly what to expect — no surprises, no ghosting.

1. Recruiter screen — 30 min. We'll share context; you'll share yours.

2. Manager interview — Meet the person you'd work with directly.

3. Take-home assignment + live debrief — A real problem, not a trick. We'll work through it together.

4. Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar.

5. Offer — Fast. We don't let good decisions sit.

6. Reference checks — Two calls, handled with discretion.

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.

Being referred? Ask your contact to submit your application directly on your behalf.