Manager I, Engineering - Applied AI/ML Product Analytics Suite
Salary not listed • Paris, France • Full-time
Posted 2mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
Datadog's Product Analytics suite aims to provide product teams with a comprehensive view of user experience, enabling them to release, measure, and improve features with confidence. The Applied AI/ML team within this suite focuses on making these tools more intelligent and autonomous by researching, prototyping, and implementing AI/ML capabilities. These advancements include AI-driven event understanding, conversational analytics, automated insights, and UI/UX issue detection from session replays, with the goal of empowering product teams to move from questions to insights and implemented changes independently.
As the Engineering Manager for this team, you will lead a group of Applied Scientists in an early-stage, high-impact role. Your responsibilities will include defining the team's technical vision, expanding its influence, and shaping the development and delivery of AI capabilities across the product suite. This is a greenfield opportunity, involving both R&D and team growth.
Responsibilities
- Lead and grow a team of Applied Scientists focused on AI/ML capabilities.
- Define the technical vision and roadmap for agentic and proactive AI/ML features.
- Contribute technically and review work to move AI/ML capabilities from research to production.
- Shape the development and delivery process for AI capabilities.
- Hire and onboard Applied Scientists.
- Represent the team's progress and priorities to stakeholders.
Requirements
- Experienced technical leader with a background in applied AI/ML, ideally with hands-on research or applied science experience.
- People manager with strong technical credibility.
- Comfortable operating in ambiguous, greenfield environments and defining direction.
- Experience taking ML/AI capabilities from research prototype to production, preferably in analytics, NLP, or user-behavior domains.
- Clear communicator capable of translating technical AI/ML concepts for product and engineering stakeholders.
- Motivated by early-stage, high-impact work and comfortable with ambiguity.
Benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program
- Inclusive company culture and Community Guilds
- Access to Inclusion Talks
- Free, global mental health benefits for employees and dependents
- Competitive global benefits