At Vibe.co, we’re shaping the future of advertising by helping brands connect with audiences in more human, data-driven, and measurable ways. Our platform brings together creativity, technology, and automation to make ad experiences more relevant, efficient, and impactful — across every screen, including CTV.
We’re growing fast- our goal is to 2.5x revenue in 2026, and content will be at the core of how we get there. The stories we tell, the experiences we design, and the value we communicate will define how brands, agencies, and partners see Vibe as a category leader in CTV innovation.
Join us!
YOUR TEAMYou will join our Data Platform team, which is responsible for receiving, processing, analysing and exposing the large-scale data generated by Vibe’s systems and partners.
This includes data produced by our real-time bidding stack, as well as external data sources. The team also owns how this data is exploited across the company, from the reporting APIs used by the frontend to more advanced use cases such as identity resolution.
The Data Platform team works closely with Product, Engineering, Data Science and ML teams to ensure data is reliable, accessible and usable at scale.
We are technology-agnostic and believe in choosing the right tool for each problem.
Current stack (non-exhaustive):
Infrastructure (AWS): Kubernetes, Athena, Spark, PostgreSQL, ClickHouse, Kafka
Languages: Python, Rust, Go
As a Software Engineer, your mission is to raise the bar of Vibe’s data platform, both strategically and operationally.
You will play a key role in shaping the future of our data stack while ensuring it remains robust, scalable, cost-efficient and easy to consume across the company.
This is a high-impact role with strong ownership over data architecture and execution.
WHAT YOU WILL DOData platform architecture & strategy
Envision the optimal architecture and operating model for Vibe’s data platform
Actively participate in the design and evolution of the company’s data stack
Make informed trade-offs between scalability, performance, reliability and cost
Data pipelines & processing
Design, build and operate batch and streaming data pipelines at scale
Handle large volumes of data generated by real-time systems
Ensure data freshness, correctness and availability across use cases
Data availability & enablement
Make data easily accessible wherever it is needed across the company
Work with other teams to understand data usage patterns and define the right solutions
Choose appropriate technologies and data models to support diverse analytical and product needs
Quality, reliability & cost control
Ensure high standards of data quality, monitoring and observability
Implement controls to manage infrastructure and processing costs
Continuously improve reliability and operational excellence of the data platform
Strong and successful experience as a Data Engineer or Software Engineer, with ownership over complex data systems
Proven ability to design scalable data architectures handling large volumes and complex computations
Solid knowledge of the big data ecosystem (batch and streaming)
Comfortable working in a cloud-native environment
Strong coding standards and attention to code quality
Perfect fluency in English
Adtech experience is a plus, but not required
Very competitive compensation (salary and stock-options/BSPCE)
Remote-first (in France or elsewhere) with the option to work on-site in an ultra-cozy coworking space in the heart of Paris (Morning Laffitte)
Health insurance (Alan)
Meal vouchers (Swile)
Two annual offsites
Guaranteed childcare placement
Top Skills
What We Do
Launch highly creative, highly measurable, highly targeted CTV & OTT campaigns in under a minute. A product by KMTX.
