Senior Product Manager - Bits Agent Builder

As the Senior Product Manager for the Actions & Automations team, you will own the ecosystem that enables customers, partners, and the company teams to build, deploy, and operate AI agents on the company. You will drive the strategy and execution for the platform capabilities, developer experience, integrations, and extensibility model that make the company 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 the company's products, AI capabilities, and ecosystem strategy. You will have the opportunity to work across the breadth of the the company platform, partner with teams throughout the company, and help establish the company as the foundation for operational AI. *At the company, 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.* What You’ll Do: Define the vision, strategy, and roadmap for the company'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 the company products and third-party systems. Partner closely with AI, platform, infrastructure, and product teams across the company 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 the company'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. 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 the company.* #LI-Hybrid the company 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, the company 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 the company is:

$192,000—$240,000 USD

About the company: the company 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, the company enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and the company Learning Center. Equal Opportunity at the company: the company 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. the company endeavors to make our Careers P #J-18808-Ljbffr United States Digital Space LLC