product
Posted 2 weeks agoSenior Product Manager - Data Agent
at Datadoghq
New York, United StatesHybrid
Responsibilities
- Drive the product vision and roadmap spanning the Data agent experience, the semantic/context layer, governance console, chat
- Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers and other PMs
- 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
Requirements
- 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.
- Independently research the competitive landscape across legacy BI vendors, warehouse-native analytics, AI-first startups, and AI labs
- 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
- Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale.
- It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
- Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.
- Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.
Benefits
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- 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.
- 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: $192,000 — $240,000 USD
Additional details
- 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. What you'll do
- experience and analysis surfaces (dashboards, notebooks, sheets)
- Deeply understand the needs of two key personas: data teams (who govern and curate) and data consumers (PMs, engineers, SREs, executives who ask questions)
- Engage directly with early customers and internal dogfooding users to iterate on accuracy, usability, and trust
- 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.
- Continuous career development and pathing opportunities
- Internal mentor and cross-departmental buddy program