Senior Product Manager - Data Agent

Datadog Datadog · Enterprise · New York, NY · Product Management

Product Manager for a new 'Data Agent' product at Datadog, focusing on building a context layer for AI-powered analytics with governance and analysis features. The role involves driving product vision, understanding user needs (data teams and consumers), designing trust and governance mechanisms, and engaging with customers.

What you'd actually do

  1. Drive the product vision and roadmap spanning the Data agent experience, the semantic/context layer, governance console, chat experience and analysis surfaces (dashboards, notebooks, sheets)
  2. Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers and other PMs
  3. Deeply understand the needs of two key personas: data teams (who govern and curate) and data consumers (PMs, engineers, SREs, executives who ask questions)
  4. Design the context and governance layer that makes AI-powered analytics trustworthy - including auto-generation from existing BI tools, eval frameworks, confidence scoring, and self-improvement loops
  5. Define how observability data and business data come together to serve unique use cases

Skills

Required

  • 5+ years of experience in B2B SaaS Product Management
  • domain knowledge of business intelligence, data visualization, semantic layers, data warehouses and the modern data stack
  • Strong analytical skills
  • write SQL
  • interpret complex data
  • use data to drive product decisions
  • Sharp communication skills
  • ability to interact with technical stakeholders and executives alike

Nice to have

  • Experience with AI/LLM-powered products
  • understand prompt engineering
  • evals
  • unique UX challenges of non-deterministic systems
  • AI-pilled
  • built unique AI workflows for yourself
  • hack around with new tools
  • strong sense of ownership with an entrepreneurial mindset
  • 0-to-1 product
  • comfortable with ambiguity and speed
  • Bachelor's Degree in Engineering, Computer Science, Data Science, or equivalent experience

What the JD emphasized

  • AI/LLM-powered products is a strong plus
  • prompt engineering
  • evals
  • unique UX challenges of non-deterministic systems
  • AI-pilled
  • built unique AI workflows for yourself
  • hack around with new tools
  • strong sense of ownership with an entrepreneurial mindset
  • 0-to-1 product
  • comfortable with ambiguity and speed

Other signals

  • zero to one product
  • context layer that learns
  • AI-powered query experience
  • governance for data teams
  • rich analysis surfaces