← All jobs · Datadog

Director, Product Management - Core Platforms

Datadog ·
49
AI-Agency
B45 U55
📍 New York, US 🌐 Remote/hybrid 💰 $300K–$385K 🛠 AI tools welcome at work Director 10+ yrs
cloud-native architecturesNoSQLSQLin-memory stores
TL;DR

Director of Product Management at Datadog leading internal platform teams. Responsible for core data platforms, developer infrastructure, and AI-assisted development capabilities serving the engineering organization.

Apply at Datadog →
share:
you'll be redirected to the company's career page

Job description

Datadog is seeking a Director of Product Management for Core Platforms to lead the internal platforms that power our global engineering organization. This is an internal-first platform leadership role, focused on enabling Datadog engineers to build, scale, and operate products efficiently and reliably.


You will lead a team of 15+ Product Managers, including both Individual Contributors and Group Product Managers, responsible for defining and executing the plans for Datadog’s Core Platforms. These platforms form the foundation of our product development ecosystem, driving developer velocity, platform leverage, and cost-efficient scale across the company.


This role owns the product vision, roadmap, and execution for critical platform capabilities while partnering closely with senior engineering leadership to ensure Datadog continues to operate at hyper-scale with high reliability and strong economic discipline.


Your scope includes Datadog’s core data platforms driving large-scale ingesting, transformation and storage and also internal developer platforms, emerging capabilities such as AI-assisted development and modern data architectures, and the foundational compute, storage, and networking services that power Datadog’s datacenters and enable reliable, cost-efficient scale.


What You’ll Do:


Who You Are:


Benefits and Growth:


Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:
$300,000$385,000 USD

About Datadog: 

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.


Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Apply at Datadog →

More open roles at Datadog

Datadog 🔷 AI-first · 🔄 synced 7h ago
Manager I, Engineering - CodeGen
📍 New York, US 🌐 Remote 💰 $187K–$240K 🛠 AI tools welcome at work · Manager
Manager I, Engineering at Datadog leading a CodeGen team building AI systems for code understanding, generation, and automated changes. Oversees production systems for model serving, evaluation, and PR automation integrated with observability.
PythonGoLLMCICDKubernetes
85
AI-core
Datadog 🔷 AI-first · 🔄 synced 7h ago
AI Research Engineer - Datadog AI Research (DAIR)
📍 New York, US 🛠 AI tools welcome at work · Mid
Research Engineer at Datadog AI Research building data pipelines, training infrastructure, and simulation environments for multimodal foundation models and RL-trained agents in cloud observability.
PythonPyTorchJAXRaySlurmRust
83
AI-core
Datadog 🔷 AI-first · 🔄 synced 7h ago
AI Research Engineer - Datadog AI Research (DAIR)
📍 Paris, FR 🛠 AI tools welcome at work · Mid
Research Engineer at Datadog AI Research building data pipelines, training infrastructure, and simulation environments for multimodal foundation models and RL-trained agents in observability and security.
PythonPyTorchJAXRaySlurmRust
83
AI-core
Datadog 🔷 AI-first · 🔄 synced 7h ago
AI Research Scientist – Datadog AI Research (DAIR)
📍 Paris, FR 🌐 Remote · Senior
Research Scientist at Datadog AI Research building foundation models and trained agents for cloud observability. Focus on multimodal world models, reinforcement learning, and autonomous SRE agents using distributed training infrastructure.
PyTorchDeepSpeedMegatron-LMCUDAdistributed training
83
AI-core
Datadog 🔷 AI-first · 🔄 synced 7h ago
Senior AI Engineer - APM Experiences
📍 New York, US 🌐 Remote 💰 $187K–$240K 🛠 AI tools welcome at work · Senior
Senior AI Engineer at Datadog building LLM and agent-based features for Application Performance Monitoring. Focus on designing AI workflows for debugging, optimization recommendations, and intelligent monitoring at scale.
GoJavaPythonOpenTelemetryRAGLLM
83
AI-core