Streaming TV is no longer just a brand awareness channel. It’s becoming a core part of the performance marketing mix, alongside search and social. Vibe.co vibe.co is building the platform that makes TV work like the rest of the acquisition stack: targeted, measurable, and optimized for results.
Vibe.co vibe.co is an Audience First Streaming TV Advertising platform that gives marketers the tools to reach the right audiences, optimize campaigns in real time, and understand what’s actually driving business outcomes. With hyper-targeted segmentation, AI-powered recommendations, real-time optimization, and incrementality measurement, Vibe brings the precision and accountability of digital advertising to the biggest screen in the house.
Today, more than 12,000 brands use Vibe.co vibe.co to reach 120 million+ households. And in August 2026, Vibe.co vibe.co became a Walmart company, opening up a new chapter for the business and the industry. With Walmart’s first-party data and purchase signals now part of the Vibe platform, advertisers can connect TV advertising to real-world transactions and measure the impact of CTV with a level of precision previously associated with platforms like Google and Meta.
This is a unique moment to join Vibe. With Walmart’s scale, data, and reach behind us, we’re building the next generation of TV advertising and creating a more measurable, performance-driven future for the channel.
ABOUT THE ROLE
Data isn't a support function at Vibe, it's the fuel behind every decision the platform makes, from which ad to show to how we measure its impact. You'll join the Data Platform team and lead the Identity squad, the group responsible for attaching every event Vibe observes to a real identity: the foundation for targeting, measurement, and the training data our models learn from. This is a player-coach role on a small, high-leverage team, you, a staff software engineer, and an ML engineer, and it exists because identity resolution at Vibe's scale has outgrown ad hoc ownership and needs someone who can both push the algorithms forward and set the technical direction. You'd want this job because you'll own one of the hardest, most consequential problems in the stack end to end; because you'll stay hands-on with clustering and entity resolution at real US scale rather than managing from a distance; and because you'll shape how identity evolves as the industry moves toward a privacy-first world.
WHAT YOU'LL DO
Technical Leadership
- Set the technical direction and roadmap for Vibe's identity stack end to end
- Design and build clustering algorithms and pipelines that resolve identity at US scale
- Make architecture decisions that scale economically and quantify their impact
- Anticipate scaling pain before it turns into an incident
- Drive systematic improvements to identity resolution accuracy
Reliability, Scale & Cost
- Build observability into identity pipelines with meaningful alerts and healthy SLOs
- Profile and optimize compute and storage across Dagster, Spark, and Iceberg
- Treat infrastructure spend as a first-class engineering concern
Expanding the Stack
- Extend identity capabilities into richer audience construction and attribution
- Build platform-level tooling so every team can resolve identity behind their events
- Design identity approaches built for a privacy-first future
People & Partnership
- Lead the squad's senior engineer through 1:1s, feedback, and career development
- Represent identity in cross-team Data Platform roadmap decisions
- Translate ambiguous stakeholder requests into concrete technical deliverables
- Push back on requests where the right call is "not yet" or "not this way"
WHAT YOU NEED
- 8+ years building and operating production ML or data systems, including leading technical work as a tech lead, staff engineer, or team lead
- Hands-on experience with large-scale entity resolution, clustering, or graph problems, with the ability to own and challenge the algorithms themselves
- Strong distributed-systems foundations across a modern orchestrator (e.g. Dagster), distributed compute (e.g. Spark), and large-scale storage (e.g. Iceberg)
- A track record of building evaluation frameworks and using them to drive measurable algorithmic improvements
- Experience managing performance and cost at genuinely large data scale
- Strong cross-functional communication, with the ability to adjust detail level by audience and align stakeholders with conflicting priorities
NICE TO HAVES
- Experience in streaming TV advertising or programmatic advertising
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
For candidates based in France, the pay range for this role is €127,000-€171,000. We will support relocation to Paris for great candidates.
For candidates based in the USA, the pay range for this role is $132,000-$264,000. We will support relocation to New York City for great candidates.
At Vibe, we want you to build something, own something, and grow fast. Here's how we prove it :
- Variable pay — Based on real Vibe business goals.
- 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.
- Technical 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.
Requirements
Must-haves
This is a unique moment to join Vibe. With Walmart’s scale, data, and reach behind us, we’re building the next generation of TV advertising and creating a more measurable, performance-driven future for the channel.
Technical Leadership
Set the technical direction and roadmap for Vibe's identity stack end to end
Design and build clustering algorithms and pipelines that resolve identity at US scale
Make architecture decisions that scale economically and quantify their impact
Anticipate scaling pain before it turns into an incident
Drive systematic improvements to identity resolution accuracy
Reliability, Scale & Cost
Build observability into identity pipelines with meaningful alerts and healthy SLOs
Profile and optimize compute and storage across Dagster, Spark, and Iceberg
Treat infrastructure spend as a first-class engineering concern
Expanding the Stack
Extend identity capabilities into richer audience construction and attribution
Build platform-level tooling so every team can resolve identity behind their events
Design identity approaches built for a privacy-first future
People & Partnership
Lead the squad's senior engineer through 1:1s, feedback, and career development
Represent identity in cross-team Data Platform roadmap decisions
Translate ambiguous stakeholder requests into concrete technical deliverables
Push back on requests where the right call is "not yet" or "not this way"
8+ years building and operating production ML or data systems, including leading technical work as a tech lead, staff engineer, or team lead
Hands-on experience with large-scale entity resolution, clustering, or graph problems, with the ability to own and challenge the algorithms themselves
Strong distributed-systems foundations across a modern orchestrator (e.g. Dagster), distributed compute (e.g. Spark), and large-scale storage (e.g. Iceberg)
Nice-to-haves
Experience in streaming TV advertising or programmatic advertising
Application prep
Use the role’s language and application details while tailoring your materials.