Captain Data

Captain Data

Artificial Intelligence / Machine Learning, Big Data, SaaS / Cloud Services

Paris

Organization and methodologies

Captain Data

Each team at Captain Data has its own rhythm, adapted to its scope and responsibilities.

The Automation squad is fast-paced and highly responsive:

  • Morning daily to surface and resolve issues

  • Afternoon daily for unblockers and quick sync

  • Real-time code reviews to ensure safe, rapid deployments

Frontend operates with more autonomy. Dailies are scheduled only when needed, allowing for deep focus and ownership.

Backend acts as a central pillar, aligning closely with both Frontend and Automation to maintain platform consistency.

Every Monday at 2 p.m., we run a company-wide sync to align on short, mid, and long-term priorities. We also make room for buffer periods—giving teams the time they need to test, iterate, and ship properly without burnout.

Projects and tech challenges

Captain Data

Micro-Services Architecture

As Guillaume, our CEO, likes to say: "We don’t write complex code—what’s hard is how everything communicates."

At Captain Data, our core mission is to build APIs. Every workflow, every automation, every action you can run is, at its core, an API endpoint.

Behind the scenes, this means managing an ever-growing set of microservices and a robust orchestration layer built to scale thousands of concurrent jobs reliably.

Our architecture is in constant evolution. We’re continuously balancing the need for new features with strict data consistency, strong semantics, and long-term maintainability.

If you care about designing clean interfaces, smart orchestration, and scalable systems—this is the playground.

Web Automation & Semantics

Our mission is ambitious: to automate the web to make intent data accessible and actionable.

We focus on extracting structured data around people, companies, and buying signals—so SaaS platforms and AI agents can build smarter, more dynamic products.

To power this, we’ve built a proprietary, JSON-first automation framework that abstracts complexity. Some workflows and scrapers don’t require a single line of code—just configuration.

We’re not just scaling automation—we’re building infrastructure to deeply understand the web. Long-term, this includes:

  • Automatically mapping website layouts

  • Identifying and extracting key entities

  • Assisting developers and users through ML-powered automation

We may not automate the entire web—but we’re making it possible for others to do so, one API call at a time.

Captain Data

Recruitment process

Captain Data
  • 15/30 min call to assess if what you're looking for is what we'd like to offer

  • 1h15 Job-fit interview with our VP Engineering to assess technical skills

  • 1h+ live session with our CTO to conceptualize a product from scratch, turning real use cases into architecture and API design.

  • Optional: discuss with the team

  • References call (at least 2)

  • 30/45 min final wrap-up with founders