Senior Product Manager - Data Agent

What you'll do

• 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

Who you are

• 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

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.

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$253,000 USD