Engineering Manager, Applied AI/ML for Product Analytics

Datadog; Paris; Hybrid; EUR 150,000 - 190,000; Full time

Benefits offered by this job

RSUs

ESPP

Professional development

Mentor program

Inclusion groups

Mental health benefits

Global benefits

Job summary

Datadog is seeking an Engineering Manager for the Applied Scientists team to guide AI/ML initiatives across the product analytics suite and shape how AI capabilities are built and delivered.

You will lead, mentor, and hire while staying hands-on to review prototypes and push production-grade solutions. This greenfield opportunity offers influence through collaboration with product and engineering leadership.

Qualifications

• Experience leading applied AI/ML teams with hands-on research or applied science background.
• Proven people management experience with technical credibility.
• Ability to define direction in ambiguous, greenfield projects.
• Experience taking ML capabilities from research prototypes to production.
• Strong communication skills with product and engineering stakeholders.
• Motivated by early-stage, high-impact work.

Responsibilities

• Lead and grow a team of Applied Scientists across AI/ML capabilities in the Datadog suite.
• Define the technical vision and roadmap for agentic, proactive AI/ML features.
• Remain hands-on as a contributor and reviewer, moving from prototypes to production-grade systems.
• Shape how AI capabilities are built and delivered, partnering with product and engineering leadership.
• Hire and onboard Applied Scientists as Datadog scales its AI investments.
• Represent progress and priorities to stakeholders across Product Analytics and AI efforts.

Skills

Applied AI/ML

Technical leadership

People management

Greenfield leadership

Production ML deployment

Job description

Datadog is seeking an Engineering Manager for the Applied Scientists team to guide AI/ML initiatives across the product analytics suite and shape how AI capabilities are built and delivered.

You will lead, mentor, and hire while staying hands-on to review prototypes and push production-grade solutions. This greenfield opportunity offers influence through collaboration with product and engineering leadership.