Engineering Manager H/F 50 Partners

Job Description

About DataDome

DataDome delivers real-time bot and agent trust management, giving businesses complete visibility and control over all traffic-human, bot, or AI. Named a Leader in The Forrester Wave for Bot Management, DataDome is trusted by enterprises like Etsy, PayPal, and Soundcloud. Acting as a traffic control plane, DataDome's multi-layered AI engine leverages thousands of models and 5 trillion signals daily to analyze intent and stop fraud in under 2 milliseconds-letting legitimate users through seamlessly across websites, apps, APIs, and MCPs. Backed by a 24/7 SOC and expert threat researchers, DataDome stops 20k+ attacks every second. With 30+ global PoPs, and 50+ ready-made integrations, DataDome is a recognized Leader on G2 across several categories-delivering protection that outperforms.

Your Team

Our Engine team currently comprises 13 talented engineers split into two complementary squads: a team focused on real-time edge applications that process traffic synchronously, and a team dedicated to asynchronous stream processing and analysis.

We are seeking an Engineering Manager to join our Edge Detection Team (currently 5 engineers). You'll lead a talented team tackling complex technical challenges, from performance optimization to AI-driven detection capabilities, while staying hands-on with the codebase to guide architectural decisions and mentor your engineers.

You will be more specifically in charge of:

- Managing and growing a team of 5 engineers (2 tech leads, 1 senior, 2 intermediates), focusing on their performance, career development, and professional growth
- Empowering your team to build high-performance, production-ready solutions while maintaining our ultra-low latency requirements (sub-5ms p99)
- Defining and evolving best practices, coding guidelines, and internal processes that enable the team to work efficiently
- Contributing to the technological vision and technical roadmap of our detection engine, especially as we evolve it to detect increasingly sophisticated AI-driven threats and autonomous agents
- Leading cross-team initiatives in close collaboration with the Streaming Engine squad, Product, SRE, and Threat Research teams
- Defining and tracking team objectives through OKRs, balancing innovation with operational excellence
- Contributing hands-on to the Java codebase (~20% of your time), staying technically sharp and close to the challenges your team faces
- Participating in on-call rotations alongside your team to ensure production reliability

You're the perfect candidate if you:

- Have 7 years in engineering management roles, demonstrating a proven track record of building and scaling teams
- Are proficient in Java and have experience building high-performance, low-latency systems at scale
- Have successfully grown engineers across different seniority levels, from intermediate to senior and tech lead positions
- Balance a metrics-driven approach with a people-first mindset, adapting your management style to what works best for your team
- Are comfortable being hands-on with code (~30% of your time) while excelling at the strategic and people aspects of the role
- Thrive in an environment where both greenfield development and optimization/maintenance work coexist
- Are comfortable with on-call responsibilities and understand the importance of production reliability
- Have strong collaboration skills and enjoy working closely with adjacent teams in a fast-paced environment

Bonus points if you have:

- Background in high-throughput distributed systems handling billions of events per day
- Previous exposure to cybersecurity, bot detection, fraud prevention, or similar domains (though this is not required-we'll teach you!)
- Track record of leading successful cross-team initiatives that drove significant business or technical impact
- Familiarity with our broader tech stack (Kafka, Elasticsearch, Druid, Flink) or similar technologies
- Experience managing teams in a scale-up environment where adaptability and pragmatism are key

What's in it for you?

- Flex Life: While we offer remote, hybrid, & in-office options each position specifies the level of flexibility. Our Parisian office is located next to the Opera Garnier. You will also receive a 500€ stipend to help you set up your ideal workspace if you work hybrid or remotely.
- Generous Health Benefits: We have partnered with Alan for your healthcare needs.
- Professional Development: #Growth is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager.
- Events & Team building: Feel the #TeamSpirit both virtually & onsite, with several events & workshops planned throughout the year, including an annual offsite evens, quarterly online and offline events and parties, lunch & learns, & much more.
- Parent Care: Gift & care packages for parents.
- PTO: Based on the country you are based from (e.g. 25 days in France).

What are the next steps?

- You x Talent Acquisition Manager : first interview and cultural fit
- You x VP of Engineering : technical and cultural fit + Take-home technical challenge
- You x Team: Presentation and review of your "technical proposal" with the team
- You x Member of the leadership team - Discussion about DataDome vision and "raison d'être"!
- Now you really met everyone! Welcome to DataDome :)

Consistently ranked a top , DataDome was also named a Strong Performer in the 2022 , placed in the 2022 and 2023 Inc. 5000, and won the for Best use of Machine Learning/AI. Certified a Great Place to Work in the US and France, DataDome's team of BotBusters spans the globe.

DataDome is an equal opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.