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Jobs/New York City/Senior Product Manager - Data Agent
New York City, NY

Senior Product Manager - Data Agent

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

Company
Datadog
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

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 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 Requirements: - 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: - 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 Company context: Datadog operates a cloud observability and security platform with meaningful hiring across infrastructure, security, AI, and developer tooling.

Responsibilities

Day-to-day expectations

Datadog lists these responsibilities for the Senior Product Manager - Data Agent role.

  • 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
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • 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

Why people would want this job

Datadog published these compensation, benefits, or working-context details with the role.

  • 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
UpJobz market context

Why this listing is more than a copied job post.

Senior Product Manager - Data Agent is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

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Compensation read

The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.

Work authorization read

Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

On-site roles in New York City should be compared against commute, local salary bands, and nearby employer demand.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to senior product manager - data agent is a high-signal on-site role in new york city, and it is most realistic for united states residents.
  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Product and DesignOn-siteaillmresearchsecurity

Watchouts

  • Compensation is hidden, so get range clarity in the first recruiter conversation.
  • Use united states residents as part of your positioning so the recruiter does not have to infer it.
  • Show concrete examples of succeeding in on-site environments.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aillmresearchsecuritydataproductuxplatformobservabilitycloud
Next step

Apply through the employer source

Open the source listing from careers.datadoghq.com, confirm the role is still active, then apply on the employer or ATS page.

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Source: careers.datadoghq.com Β· Source ID: 7785350 Β· Confidence: 93/100 Β· Last checked: May 7, 2026

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