Senior Product Manager - Data Agent

The shape of it

In the posting’s own words

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.

What it asks for · 8

• 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

What the job covers

• 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

Degree language

• Bachelor's Degree in Engineering, Computer Science, Data Science, or equivalent experience is a plus

Tools and skills named

Words the posting leans on

• data15×
• product10×
• experience6×
• governance4×
• layer4×
• tools4×
• analytics3×
• pms3×
• skills3×
• understand3×
• unique3×
• ai-powered2×
• analysis surfaces2×
• answer2×
• building2×
• business data2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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