Senior Product Manager - Data Agent

Responsibilities

• 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)
• Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers and other PMs
• Deeply understand the needs of two key personas: data teams (who govern and curate) and data consumers (PMs, engineers, SREs, executives who ask questions)
• 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
• Define how observability data and business data come together to serve unique use cases
• Engage directly with early customers and internal dogfooding users to iterate on accuracy, usability, and trust
• Independently research the competitive landscape across legacy BI vendors, warehouse-native analytics, AI-first startups, and AI labs
• Work on the product pricing
• Work with GTM teams to define positioning, packaging, and the path to displacing entrenched tools

Requirements

• 5+ years of experience in B2B SaaS Product Management, with at least some of it spent on data-intensive or analytics products
• You have domain knowledge of business intelligence, data visualization, semantic layers, data warehouses and the modern data stack.
• Strong analytical skills - you can write SQL, interpret complex data, and use data to drive product decisions
• Experience with AI/LLM-powered products is a strong plus - you understand prompt engineering, evals, and the unique UX challenges of non-deterministic systems
• You are AI-pilled. You live in Claude Code or Cursor, have built unique AI workflows for yourself, hack around with new tools. etc
• You have a strong sense of ownership with an entrepreneurial mindset - this is a 0-to-1 product that requires someone comfortable with ambiguity and speed
• Sharp communication skills with the ability to interact with technical stakeholders and executives alike.
• Bachelor's Degree in Engineering, Computer Science, Data Science, or equivalent experience is a plus
• Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
• Benefits and Growth:
• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
• Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
• #LI-Hybrid
• The reasonably estimated yearly salary for this role at Datadog is:
• $187,000 - $253,000 USD
• About Datadog:
• Equal Opportunity at Datadog:
• Datadog is proud to offer equal employment opportunity to everyone regardless of

Benefits

Additional Information

Today, everyone from PMs to Sales to SREs uses AI to query their business data - but every answer is a one-off with no governance, no consistency, and no visibility for data teams. We're building the system that fixes this: a context layer that learns from existing data tools driving high quality and consistent answers, an AI-powered query experience, full governance for data teams, and rich analysis surfaces to present and share the results. You'd be building a zero to one product of what we believe will become a major new product line for Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

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