DataDog

3 months ago

Senior Product Manager - Data Agent

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 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: 4.1

Website LinkedIn

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DataDog

3 months ago

Senior Product Manager - Data Agent

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

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

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: 4.1

Website LinkedIn