Confirm work authorization, visa sponsorship and location requirements with the employer.
About the role
As the Senior Product Manager for the Actions & Automations team, you will own the ecosystem that enables customers, partners, and Datadog teams to build, deploy, and operate AI agents on Datadog. You will drive the strategy and execution for the platform capabilities, developer experience, integrations, and extensibility model that make Datadog the best place to build agents that understand and act on production systems.
Modern engineering organizations are entering a new era where software is not only monitored and operated by humans, but increasingly by AI-powered agents. As agentic workflows reshape how teams build, operate, secure, and troubleshoot systems, customers need a platform for creating specialized agents, connecting them to business and engineering systems, governing their behavior, and extending them to solve unique organizational problems. You will define and build the ecosystem that makes this possible.
Agent Builder sits at the intersection of Datadog's products, AI capabilities, and ecosystem strategy. You will have the opportunity to work across the breadth of the Datadog platform, partner with teams throughout the company, and help establish Datadog as the foundation for operational AI.
At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Define the vision, strategy, and roadmap for Datadog's Agent Builder platform and ecosystem.
Own the core platform capabilities that enable customers and partners to create, customize, deploy, and manage AI agents.
Drive the extensibility model for agents, including integrations, tools, actions, context sources, APIs, SDKs, and developer workflows.
Shape how agents perform actions across Datadog products and third-party systems.
Partner closely with AI, platform, infrastructure, and product teams across Datadog to establish common agent architecture patterns and platform standards.
Develop a deep understanding of emerging agent frameworks, orchestration patterns, evaluation techniques, governance models, and operational best practices.
Be equally comfortable discussing LLM architectures, tool-calling systems, evaluation frameworks, and developer platforms with engineering teams as you are working directly with customers to understand their needs and workflows.
Evangelize Datadog's vision for operational AI through customer engagements, conferences, blogs, industry events, and thought leadership.
Work with world-class Product and Engineering teams to develop and communicate roadmaps that inspire our teams' best work and deliver meaningful customer value.
Support and empower Sales, Account Management, Marketing, and Solutions teams to drive adoption and customer success.
Contribute to a culture of learning and collaboration across the department and broader organization.
Raise the bar in product management.
WHO YOU ARE:
An experienced Product Manager, ideally at a SaaS, infrastructure, platform, developer tools, or AI company.
You have a strong technical background and can engage deeply on topics such as AI systems, APIs, platform architecture, developer tooling, distributed systems, and integration patterns.
You have experience building platforms or ecosystems that enable other developers, teams, or products to create value.
You are excited by the opportunities and challenges of AI agents and have a strong point of view on how agentic systems will transform software development and operations.
You have sharp product intuition and can navigate ambiguity, making sound prioritization decisions in fast-moving technology landscapes.
You are naturally collaborative and thrive in environments where success depends on aligning many teams around a shared vision.
You have excellent verbal and written communication skills and the ability to present and defend ideas to both technical and non-technical audiences.
You have a Bachelor's Degree in Computer Science, Engineering, or equivalent experience.
You are customer-minded with a high quality standard for the products you build.
Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.
Benefits & Growth:
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Intra-departmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds
Access to Inclusion Talks, our Internal panel discussions
Free, global Spring Health benefits for employees and dependents age 6+
Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is: $192,000—$240,000 USD
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About Datadog:
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.
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Equal Opportunity at Datadog:
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.
Privacy and AI Guidelines:
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.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
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