Principal Product Manager Ai-driven, Observability

Elastic Elastic · Enterprise · Copenhagen, Denmark · Obs - Actionable Observability

Principal Product Manager for AI within the Observability team, driving the vision and execution of AI-powered features. The role focuses on Agentic AI, Machine Learning, LLMs, and semantic context to transform the observability lifecycle, including data onboarding, enrichment, root cause analysis, impact assessment, and automated remediation. Responsibilities include defining AI strategy, owning the roadmap for embedding AI/ML into workflows, partnering with engineering and UX, collaborating with sales/marketing, engaging with customers, and tracking industry trends.

What you'd actually do

  1. Define and execute the AI strategy for Observability, leveraging Elastic's AI stack (Elastic Inference Service, Elastic’s Agent Builder, AI Assistant, RAG, Vector Search, Knowledge Bases, NLP).
  2. Own the roadmap for embedding AI and ML into log analytics, incident investigation, and SRE workflows.
  3. Partner with Engineering, UX, and cross-functional teams to deliver seamless, intuitive AI-driven experiences.
  4. Collaborate with our Sales and Marketing teams to drive adoption, enablement, and go-to-market for new AI features.
  5. Engage with customers and the field to gather feedback, validate solutions, and iterate quickly.

Skills

Required

  • 5+ years in product management or a related field, with a focus on AI, ML, or Observability.
  • Deep understanding of AI/ML technologies (LLMs, RAG, NLP, semantic search) and their application to real-world problems.
  • Experience building and shipping data-intensive or AI-driven products at scale.
  • Strong technical acumen and ability to translate complex AI concepts into user value.
  • Excellent communication and collaboration skills; able to influence across teams and functions.

Nice to have

  • Passion for innovation, customer empathy, and a bias for action.

What the JD emphasized

  • AI strategy
  • Agentic AI
  • AI-driven products at scale

Other signals

  • AI-powered features
  • Agentic AI
  • LLMs
  • semantic context
  • observability lifecycle
  • root cause analysis
  • automated remediation
  • AI strategy
  • Elastic's AI stack
  • Elastic Inference Service
  • Elastic’s Agent Builder
  • AI Assistant
  • RAG
  • Vector Search
  • Knowledge Bases
  • NLP
  • embedding AI and ML into log analytics
  • incident investigation
  • SRE workflows
  • data-intensive or AI-driven products at scale