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About the Role
As the Product Marketing Manager - Infrastructure Monitoring for AI and Containerized Workloads, you’ll own the go-to-market strategy for this portfolio. You’ll partner closely with Product Management, Sales, Customer Success, and Enablement to shape positioning, support product launches, increase adoption, and translate complex infrastructure capabilities into clear customer value. You will incorporate AI-enabled tools into your day-to-day work to improve productivity and execution. You’ll also help position Kubernetes and container monitoring capabilities within Datadog's Bits agentic AI offerings, showing how agentic workflows can help teams detect, investigate, and remediate infrastructure issues.
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 clear, differentiated messaging that communicates the value of unified visibility across hosts, containers, Kubernetes clusters, GPUs, and the infrastructure supporting AI workloads.
- Position Kubernetes and containers within Datadog’s Bits agentic AI offerings, translating workflows for detecting, investigating, and remediating infrastructure issues into clear customer value.
- Create engaging content to support product and feature launches, including pitch decks, ebooks, case studies, blogs, webinars, short-form demo videos, and customer testimonials.
- Own the messaging and positioning used across digital marketing campaigns and industry events, including DASH, Datadog’s user conference, Kubecon, re:Invent, and more.
- Partner closely with Product Management, Sales, Customer Success, and Enablement to translate product capabilities and customer insights into compelling narratives while enabling field teams to win new customers, increase product adoption, and identify expansion opportunities.
Requirements
- 2–3 years of Product Marketing experience, specifically 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.
- Able to communicate effectively with technical audiences while translating complex capabilities into clear customer value.
- A strong storyteller who can develop compelling narratives across a range of formats and channels.
- Passionate about SaaS, cloud computing, DevOps, AI infrastructure, and product-led growth.
- If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Skills
- Product Marketing
- Enterprise B2B SaaS
- Product Positioning
- Messaging
- Launch Content
- Collateral
- Sales Enablement
- Infrastructure Monitoring
- AI Infrastructure
- Containers
- Serverless Technologies
- Kubernetes
- Developer Technologies
- Technical Communication
- Storytelling
- SaaS
- Cloud Computing
- DevOps
- Product-Led Growth
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- 2-3 years
Salary/Compensations
- $123,000 - $164,000 USD
Benefits
- Best-in-breed onboarding
- Opportunity to join Community Guilds
- Access to Inclusion Talks, our Internal Panel Series, and our annual Diversity Hackathon
- 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
- Healthcare
- Dental
- Parental planning
- Mental health benefits
- 401(k) plan and match
- Paid time off
- Fitness reimbursements
- Discounted employee stock purchase plan
About the Company
- Datadog Infrastructure Monitoring helps teams understand the health and performance of the infrastructure powering modern applications, including AI - from hosts and Kubernetes clusters to GPUs and other compute resources.
- 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.
Equal Opportunity
- Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
- Here are our Candidate Legal Notices for your reference.
- Datadog endeavors to make our Careers Page accessible to all users.
- If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form.
- This form is for accommodation requests only and cannot be used to inquire about the status of applications.
- Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.
- For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.