About the Role

You'll operate as an embedded subject-matter expert within the Engineering organization, reporting high into Engineering and partnering closely with Data Platform, Analytics, Product and Legal teams.

You will sit at the intersection of data platform engineering, governance, and compliance, helping Vibe make its data assets easier to understand, safer to use, and ready to scale with premium publishers and enterprise advertisers.

This role exists because data is central to everything we do at Vibe. As the company grows, we need to move from startup-speed data practices to a more structured, trusted, and compliant data foundation, without slowing down product and engineering velocity.

3 reasons a great candidate should care:

• You'll shape a critical foundation.
  Data powers Vibe's product, reporting, optimization, ML systems, and partner integrations. You'll help define how that data is governed, accessed, trusted, and used.
• The timing is right.
  We're at the point where informal processes are no longer enough. You'll join before the patterns are fully set and help build the right foundations from the ground up.
• You'll have real ownership.
  This is a senior IC role with strong influence across Engineering. You'll have the mandate to identify gaps, define the roadmap, and implement practical governance and compliance standards that actually work.

What You'll Do

Data governance & discoverability

• Build a clear understanding of Vibe's key data flows, sources of truth, and ownership.
• Help define schemas, data contracts, documentation, and standards for how data should be used across the company.
• Improve data discoverability so teams can confidently understand what data exists, where it lives, and how to use it.
• Establish practical standards around data quality, lineage, observability, and ownership.
• Define, maintain and enforce data lifecycle policies
• Help teams track data cost and usage

Data compliance & privacy

• Define and implement data compliance practices aligned with Vibe's business, partners, and regulatory needs.
• Partner with Legal, Product, Security, and Engineering to assess the impact of new data sources, partnerships, and use cases.
• Help clarify what data can be used, how it can be used, where it should live, and how long it should be retained.
• Support Vibe's ability to work confidently with premium publishers, enterprise advertisers, and strategic partners.

Lead governance without slowing people down

• Build guardrails, not gatekeepers, enabling engineers and teams to move fast while making safe, compliant decisions.
• Embed governance and compliance into existing engineering workflows, tools, and architectural decisions.
• Help Vibe transition toward a more security, and compliance-aware, data culture.
• Identify the biggest risks, gaps, and opportunities, then define a pragmatic roadmap to address them.

What You Need

• Hands-on experience building or operating large-scale data platforms.
• Strong practical experience with data governance, data quality, data contracts, lineage, access control, or compliance-oriented data architecture.
• A proven track record implementing compliance frameworks in real engineering systems.
• Experience working with sensitive, regulated, or contractually constrained data.
• Ability to translate legal, compliance, security, and business requirements into practical engineering solutions.
• Strong stakeholder management skills across Engineering, Product, Legal, Security, and Analytics.
• Ability to operate as a senior individual contributor with high ownership and strong influence.
• Comfort with ambiguity, early-stage environments, and building structure where it does not yet exist.

Nice to Haves

• Experience with adtech, connected TV, streaming TV, publisher data, or measurement platforms.
• Experience with identity resolution, device graphs, clean rooms, or privacy-safe data matching.
• Familiarity with GDPR, CCPA, SOC2, or similar compliance frameworks.
• Experience with modern data tooling such as Airflow, Dagster, dbt, Kafka, S3, Athena, Snowflake, BigQuery, or similar.
• Experience with data catalogs, lineage tooling, policy-as-code, access governance, or data observability platforms.
• Familiarity with ML data workflows, feature stores, model training data, or permitted use of data for ML systems.

Our Values

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

• 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.

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.

Referral Instructions

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