Senior Product Manager - Data Agent

DataDog
New York
Workplace: HybridFull timeUSD 187,000 - 253,000 annuallyFunction: Product ManagementExperience: 5+ yearsEducation: bachelorsSkills: ["SQL","AI","LLM","Data visualization","Dashboards","Notebooks","BI tools","Data warehouses","Modern data stack"]

Lead the end-to-end product lifecycle for a data agent platform, spanning semantic/context layers, governance, and analytics surfaces. Own roadmap and pricing for a 0-to-1, AI-powered, data-governed analytics product in a hybrid work environment, engaging with engineers, designers, GTM teams, and early customers to drive adoption and trust.

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FursaFursa
DataDog
DataDog
5 months ago

Senior Product Manager - Data Agent

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Lead the end-to-end product lifecycle for a data agent platform, spanning semantic/context layers, governance, and analytics surfaces. Own roadmap and pricing for a 0-to-1, AI-powered, data-governed analytics product in a hybrid work environment, engaging with engineers, designers, GTM teams, and early customers to drive adoption and trust.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Product Management
Seniority: Manager level

Key Responsibilities

  • •Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers and other PMs
  • •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)
  • •Deeply understand the needs of two key personas: data teams and data consumers (PMs, engineers, SREs, executives) and translate into product features
  • •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

Pay and Benefits

Salary: USD 187,000 - 253,000 annually
Equity and Bonus:Equity
Perks:Rsus401kHealth InsuranceDentalPaid LeaveParential PlanningEquity

Key Requirements

  • •5+ years of experience in B2B SaaS Product Management, with at least some of it spent on data-intensive or analytics products
  • •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
  • •Bachelor's Degree in Engineering, Computer Science, Data Science, or equivalent experience is a plus
Experience:5+ yearsBusiness intelligenceData analyticsSaaSData warehousesModern data stack
Education:Bachelor's
Skills:SQLAILLMData visualizationDashboardsNotebooksBI toolsData warehousesModern data stack
Languages:English
Tech Stack:SQLAILLMBI toolsNotebooksDashboardsData warehousesModern data stackPython

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn