Senior Product Manager
Senior Product Manager owning the vision and roadmap for Datadog's unified fleet and lifecycle management platform. Expand coverage to new observability components, define managed experiences for humans and AI agents, and drive cross-team alignment on technical architecture and phased delivery.
About the job
What You'll Do
- Own and evolve the product vision and roadmap for a unified fleet and lifecycle management platform spanning multiple product lines and deployment models.
- Define what "managed" means for each new software component as it's brought into the platform, balancing consistency of experience with the realities of each component's operational model.
- Drive a phased expansion plan, sequencing new components onto the platform based on customer value, technical complexity, and dependency readiness.
- Partner closely with engineering leads across several teams to align on shared architecture principles to support disparate software components.
- Represent the voice of the customer for a platform that must work equally well for human operators using a UI and for AI agents/automated tooling operating programmatically.
- Build the business case, define success metrics, and communicate roadmap and trade-offs to engineering, design, sales, and executive stakeholders.
- Stay closely connected to customers and design partners to validate priorities and de-risk major roadmap bets.
What We're Looking For
- 5+ years of product management experience, with a track record of owning complex, technical, platform-level products.
- Experience shipping infrastructure, DevOps, IT operations, or observability/monitoring products, ideally involving fleet management, configuration management, or software lifecycle/deployment tooling.
- Demonstrated ability to build product direction across multiple engineering teams with differing priorities, and to drive alignment without direct authority.
- Comfort operating in ambiguity, defining scope and sequencing capabilities that deliver customer value incrementally.
- Strong technical fluency; comfortable discussing architecture trade-offs with engineers.
- Experience designing products for emerging AI-agent/automation use cases is a strong plus.
- Excellent written and verbal communication skills; able to distill a sprawling, multi-team initiative into a clear narrative for different audiences.
- Bachelor's degree or equivalent practical experience.
Bonus Points
- Experience with Kubernetes-based deployment models and operator patterns.
- Experience with remote configuration or feature-flagging infrastructure at scale.
- Familiarity with BYOC (bring-your-own-cloud) or customer-hosted software deployment models.
Skills
Product Management, Fleet Management, Lifecycle Management, Kubernetes, Observability, DevOps, Configuration Management, AI Agents, Remote Configuration, Feature Flagging
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