Manager II, Engineering - Applied AI (NorAm) | Datadog Careers

Datadog

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$234,000–$300,000 / yr
Posted
17 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k
This role $267k
$170k most similar roles pay here $314k

This role pays more than 77% of similar roles. Most pay $186,156–$256,850 — the shaded band above. At the midpoint, this role pays about $267k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 122 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 62 roles with salary data.

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View all roles at Datadog

At a glance

TL;DR · Manager II, Engineering - Applied AI (NorAm) | Datadog Careers

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As a Manager II in Datadog's Applied AI group, you will lead multiple teams of engineers, applied scientists, and managers to build AI-powered features across the Datadog platform. Your responsibilities include setting technical vision and strategy, driving work from research through production, coaching senior team members, and fostering collaboration with product and engineering teams. You will also own operational excellence for your systems, hire new talent, and contribute to shaping Datadog's broader AI roadmap. The ideal candidate has a strong background in AI or machine learning, experience building ML products, and deep expertise in areas like large language models, anomaly detection, or NLP. Comfort with technical leadership, people management, and partnership with product teams is essential for this role at one of the world’s leading observability platforms, handling hundreds of trillions of data points daily.

Skills

Python Java ML frameworks Docker Kubernetes CI/CD AWS GCP Azure PostgreSQL MongoDB Git JIRA Slack Datadog monitoring tools Scrum Agile methodologies DevOps practices Cloud computing technologies

What you'll do

  • Lead multiple teams of engineers, applied scientists, and managers in AI-powered feature development.
  • Set technical vision and strategy for AI products in collaboration with Product teams.
  • Coach senior team members to foster a culture of high performance and psychological safety.
  • Drive end-to-end product delivery from data pipelines through production operations.
  • Build evaluation practices and quality standards for AI systems and continuous improvement.

What we're looking for

  • Experienced technical leader with a strong background in AI or data science.
  • Proven track record of building and shipping ML/AI products in production.
  • Deep expertise in large language models, agentic systems, NLP, or related fields.
  • Strong people management skills for attracting, developing, and retaining talent.
  • Comfortable setting technical vision and strategy in partnership with Product teams.
  • BS/MS/PhD in Machine Learning, Computer Science, Engineering, or equivalent experience.

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