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Product Manager II, AI Agent Console
Datadog
Original Job Summary
About the Role
The Product Manager II, AI Agent Console at Datadog will own the vision and execution of a zero-to-one launch of a unified solution for governing, monitoring, and optimizing AI agents. This role involves collaboration with Engineering, Design, Security, and Go-to-Market teams to deliver end-to-end visibility, security, and business impact measurement.
Responsibilities
- Define and drive the roadmap for the AI Agents Console.
- Translate customer needs into innovative product features using telemetry and LLM integrations.
- Own the full product lifecycle from ideation to launch and iteration.
- Lead cross-functional initiatives with multiple teams.
- Collaborate with Go-to-Market teams for compelling messaging and adoption.
Who You Are
You have 3+ years in product management, including early-stage launches, with technical fluency in AI/ML concepts and agent frameworks. You exhibit a strong initiative and, preferably, come from a background in developer tools with a focus on self-service UX.
Benefits & Growth
- New hire stock equity (RSUs) and ESPP.
- Continuous professional development and product training.
- Internal mentoring, buddy program, and networking opportunities.
- Inclusive company culture with global benefits.
- Competitive salary and equity package with variable compensation.
About Datadog
Datadog (NASDAQ: DDOG) is a global SaaS business focused on digital transformation, cloud migration, and infrastructure monitoring. Built by engineers for engineers, Datadog fosters professional development, diversity, and innovation.
Key skills/competency
Product Management, AI, SaaS, Roadmap, Cross-functional, Lifecycle, Innovation, Analytics, Startup, Observability
How to Get Hired at Datadog
🎯 Tips for Getting Hired
- Customize Your Resume: Tailor experience to product management roles.
- Research Datadog: Understand their tech, culture, and strategy.
- Highlight AI Expertise: Emphasize AI/ML and agent frameworks skills.
- Prepare for Interviews: Practice product case studies and cross-functional scenarios.