datadog
Senior Product Manager - Bits Agent Builder
At a Glance
- Location
- New York, United States
- Work Regime
- hybrid
- Posted
- 2026-07-28T13:30:06-04:00
Key Requirements
Domain Knowledge
- Engineering
- SaaS
Requirements
An experienced Product Manager, ideally at a SaaS, infrastructure, platform, developer tools, or AI company.
You have a strong technical background and can engage deeply on topics such as AI systems, APIs, platform architecture, developer tooling, distributed systems, and integration patterns.
You have experience building platforms or ecosystems that enable other developers, teams, or products to create value.
You are excited by the opportunities and challenges of AI agents and have a strong point of view on how agentic systems will transform software development and operations.
You have sharp product intuition and can navigate ambiguity, making sound prioritization decisions in fast-moving technology landscapes.
You are customer-minded with a high quality standard for the products you build.
Compensation & Benefits
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Intra-departmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds
Access to Inclusion Talks, our Internal panel discussions
Free, global Spring Health benefits for employees and dependents age 6+
Responsibilities
Define the vision, strategy, and roadmap for Datadog's Agent Builder platform and ecosystem.
Own the core platform capabilities that enable customers and partners to create, customize, deploy, and manage AI agents.
Drive the extensibility model for agents, including integrations, tools, actions, context sources, APIs, SDKs, and developer workflows.
Shape how agents perform actions across Datadog products and third-party systems.
Partner closely with AI, platform, infrastructure, and product teams across Datadog to establish common agent architecture patterns and platform standards.
Develop a deep understanding of emerging agent frameworks, orchestration patterns, evaluation techniques, governance models, and operational best practices.