Engineering Manager - Analytics and Data Platform at Teads

T
Teads

Engineering Manager - Analytics and Data Platform

Hybrid

Full Time

#Engineering

#Ad Tech

#Data Platform

#Agile

#Project Management

#Kafka

#Redpanda

#Spark

#Flink

#AWS S3

#GCP

#Looker

Teads is looking for a Engineering Manager - Analytics and Data Platform

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Teads is a global, premium Ad Tech platform that operates at massive scale. Our engineering organization is a powerhouse of 230+ talented individuals spread across Montpellier, Paris, and Bucharest. We thrive in an environment of autonomous feature teams and shared communities of practice, where we prioritize diversity and inclusive collaboration to drive innovation. We are looking for someone to lead our Analytics and Data Platform team and help us manage the billions of data points generated by our business every single day.

Role at a glance

We are seeking a Senior Engineering Manager to oversee our Analytics and Data Platform team. This is a full-time position that offers a hybrid work model, providing you with the flexibility to work from anywhere. You will be instrumental in shaping the systems that power our data-driven decision-making across the entire company.

Your impact

  • Define and execute the long-term technical strategy for the Analytics and Data Platform team.
  • Mentor and inspire your team members, fostering their professional growth while supporting high-quality engineering outcomes.
  • Collaborate closely with cross-functional partners in product, engineering, and operations to ensure projects are delivered on time and meet our high standards.

What you'll need

To be successful in this role, you should possess a strong background in software engineering and technical leadership. We are looking for someone who brings the following:

  • Proven experience leading technical teams and mentoring engineers.
  • A deep passion for building systems and a strong sense of ownership over the full project development lifecycle.
  • Pragmatic expertise in Agile methodologies and project management.
  • A data-driven mindset with excellent problem-solving abilities.
  • Fluency in English, with the ability to communicate complex technical concepts clearly.
  • Familiarity with our core tech stack, including Kafka, Redpanda, Spark, Flink, AWS S3, GCP, and Looker.

Perks and compensation

We believe in supporting our team both professionally and personally. Our benefits package includes:

  • Hybrid and remote work options with a flexible work location policy.
  • Profit sharing opportunities and comprehensive medical, dental, and life insurance.
  • Generous paid time off to ensure a healthy work-life balance.
  • Access to professional development programs, including training and conference opportunities.
  • Relocation assistance for those interested in joining us at one of our primary engineering hubs.
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