Senior Product Manager, AAA/Enterprise Growth

As a Product Manager, Enterprise Growth, you own the commercial and life cycle layer that drives expansion within Datadog's largest accounts: the Enterprise SKU that packages and prices the platform, the communications infrastructure that powers outbound messaging across Datadog, and the growth motions — expansion signals, life cycle nudges, and Sales/Support workflows — that turn product adoption into controlled account growth. This is a cross-functional ownership role with a dedicated engineering team but many influential stakeholders. You'll work across four AAA engineering teams and a range of cross-functional partners, operating more like a GM for the Enterprise SKU than a feature PM with a dedicated eng team. You'll use AI-assisted workflows to cover the ground that role historically required a small team to handle. 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. What You'll Do In your first 90 days: Publicly launch the Enterprise SKU. Own packaging, attach strategy, quotas and limits policy, and metering. Partner with Revenue Engineering, Finance, Product Marketing, and Sales Ops to align pricing mechanics and positioning. This is the Q1 2026 priority. Stand up the design partner program. Recruit 5 to 10 enterprise admins and procurement buyers. Validate packaging assumptions, willingness to pay, and readiness criteria before broad rollout. Define the Enterprise readiness rubric. Establish what it means for a Datadog product to earn "Enterprise Ready" status, covering SSO/SCIM, granular RBAC, audit controls, data residency, and private connectivity. The rubric sets the bar; product teams close their own gaps. Map the Dogmail/Notifications surface. Understand current engineering backlog, coverage gaps, and cross-team dependencies. Identify the highest-leverage near-term investments and set a 6-month direction with the owning engineering team. Steady state: Own the Enterprise SKU P&L. Track attach rate, expansion ARR, governance MAU, and time-to-value. Run quarterly pricing and packaging research — customer interviews, willingness-to-pay data, competitive signals — to refine the offer and drive corrections. Use AI tools and agents to accelerate packaging research, field enablement content, and competitive analysis — and to build lightweight internal tools (dashboards, calculators, decision guides) that reduce your dependency on engineering for GTM execution. Own Dogmail/Notifications product strategy. Dogmail/Notifications is the unified delivery layer for all outbound communications across Datadog — transactional email, life cycle messages, and in-app notifications — without PM ownership today. Partner with the engineering team to set the roadmap: deliverability reliability, user preference management, developer experience for teams building on the platform, and growth-oriented capabilities like triggered life cycle sequences. Build Sales and Support-integrated workflows. Identify where in-product experiences can proactively surface support context, reduce ticket volume, and accelerate deal velocity. Own the product side of workflows that connect end-user actions to Sales and Support touchpoints. Drive programmatic Enterprise Growth motions. Design expansion signals, upsell nudges, and customer life cycle triggers that turn usage data into controlled expansion within enterprise accounts. Partner with Customer Success, RevEng, and Finance on the mechanics; use Dogmail and Notifications as the delivery layer. Enable the field. Create clear narratives, calculators, and decision guides for Sales, Solutions Engineering, and Customer Success so the Enterprise SKU is easy to position and adopt. Who You Are 6–10 years of PM experience in SaaS B2B, with meaningful time on enterprise packaging, pricing, monetization, or growth motions. Proven track record in enterprise commercial strategy — you've owned a SKU, driven attach, or managed a monetization roadmap at a company with usage-based or tier-based pricing (Snowflake, Twilio, Atlassian Cloud, GitHub Enterprise, or equivalent). Operator mindset with strong cross-functional influence across RevEng, Finance, Product Marketing, Sales Ops, Legal, and Support. You're comfortable holding accountability without direct control. Metrics-driven. You define leading indicators, instrument them, and use them to make decisions. Fluent in AI-assisted workflows. You use Claude Code, Cursor, or equivalent tools daily for research, analysis, content generation, and rapid prototyping. Strong eagerness to adopt these approaches counts if you're newer to them. Experience with customer life cycle, programmatic expansion, or growth motions in a SaaS B2B context. You understand how usage signals translate into revenue opportunity and have worked with CS or Sales to operationalize them at scale. Clear, concise communicator who writes crisp problem statements, pricing proposals, and field enablement assets. Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent experience. An MBA is a plus. 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 and Growth: 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 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 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. 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 .