DataDog

1 day ago

Product Marketing Manager - Infrastructure Monitoring (AI and Containers)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Own the end-to-end go-to-market strategy for infrastructure monitoring for AI and containerized workloads, including positioning, launches, adoption, and field readiness. Develop differentiated messaging across hosts, containers, Kubernetes clusters, GPUs, and AI infrastructure. Create launch content and campaign assets, and partner with Product, Sales, Customer Success, and Enablement to translate technical capabilities and customer insights into compelling narratives that drive adoption and expansion.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Manager level

Key Responsibilities

•Own the end-to-end go-to-market strategy for infrastructure monitoring for AI and containerized workloads, including positioning, launches, adoption, and field readiness.
•Develop differentiated messaging for unified visibility across hosts, containers, Kubernetes clusters, GPUs, and infrastructure supporting AI workloads.
•Position Kubernetes and containers within Datadog’s Bits agentic AI offerings, translating detection, investigation, and remediation workflows into customer value.
•Create launch content and collateral, including pitch decks, ebooks, case studies, blogs, webinars, short-form demo videos, and customer testimonials.
•Partner with Product Management, Sales, Customer Success, and Enablement to translate capabilities and insights into narratives that help field teams win, increase adoption, and identify expansion opportunities.

Pay and Benefits

Salary: USD 123,000 - 164,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalParental Leave401kPaid LeaveGym MembershipEquity

Key Requirements

•2–3 years of product marketing experience supporting enterprise B2B SaaS products.
•Experience developing product positioning, messaging, launch content, collateral, and sales enablement assets.
•Prior experience with infrastructure monitoring, AI infrastructure, containers, serverless technologies, Kubernetes, or related developer technologies is preferred.
•Ability to communicate effectively with technical audiences while translating complex capabilities into clear customer value.
•Strong storytelling skills to develop compelling narratives across multiple formats and channels.

Experience:2-3 yearsB2B SaaSSaaSCloud computingDevOpsAI infrastructure

Skills:StorytellingCommunicationCross-functional collaborationProduct marketingMessaging

Languages:English

Tech Stack:KubernetesContainersGPUsServerlessDevOpsAI

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

1 day ago

Product Marketing Manager - Infrastructure Monitoring (AI and Containers)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Manager level

Key Responsibilities

•Own the end-to-end go-to-market strategy for infrastructure monitoring for AI and containerized workloads, including positioning, launches, adoption, and field readiness.
•Develop differentiated messaging for unified visibility across hosts, containers, Kubernetes clusters, GPUs, and infrastructure supporting AI workloads.
•Position Kubernetes and containers within Datadog’s Bits agentic AI offerings, translating detection, investigation, and remediation workflows into customer value.
•Create launch content and collateral, including pitch decks, ebooks, case studies, blogs, webinars, short-form demo videos, and customer testimonials.
•Partner with Product Management, Sales, Customer Success, and Enablement to translate capabilities and insights into narratives that help field teams win, increase adoption, and identify expansion opportunities.

Pay and Benefits

Salary: USD 123,000 - 164,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalParental Leave401kPaid LeaveGym MembershipEquity

Key Requirements

•2–3 years of product marketing experience supporting enterprise B2B SaaS products.
•Experience developing product positioning, messaging, launch content, collateral, and sales enablement assets.
•Prior experience with infrastructure monitoring, AI infrastructure, containers, serverless technologies, Kubernetes, or related developer technologies is preferred.
•Ability to communicate effectively with technical audiences while translating complex capabilities into clear customer value.
•Strong storytelling skills to develop compelling narratives across multiple formats and channels.

Experience:2-3 yearsB2B SaaSSaaSCloud computingDevOpsAI infrastructure

Skills:StorytellingCommunicationCross-functional collaborationProduct marketingMessaging

Languages:English

Tech Stack:KubernetesContainersGPUsServerlessDevOpsAI

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