The opportunity
The product operations team enables product excellence at scale at Datadog. With over thirty standalone products on a single platform, product operations drives consistency, efficiency, and quality across the organization.
What you'll do
Own and improve the full Product Development Life Cycle . Own and drive: operational excellence for product launches. This includes coordinating across Product, Engineering, Marketing, Sales, Customer Success, and Support to ensure we are ready to bring quality products and support to our customers.
Build AI-powered workflows and agents that automate and accelerate: operational work. From customer feedback triage to launch tracking to cross-functional reporting, you'll experiment with and deploy AI tools and custom agents to help the product org move faster and smarter.
Build and maintain a single source of truth for launches giving: cross-functional partners real-time visibility into what's shipping, when, and what's needed from each team.
Drive centralized product knowledge and enablement , ensuring PMs and: stakeholders have the tools, resources, templates, and context they need to succeed and making it easily discoverable.
Analyze and quantify product signals. Query product, CRM, and customer data: systems to surface high-signal insights — aggregating and quantifying feature requests, identifying revenue opportunities, and measuring the impact of product decisions. You'll bring an analytical lens to operational work, turning raw data into clear, actionable recommendations for PMs and leadership.
+ years of experience in product operations, program management, or a related relevant experience
What they're looking for
- Experience collaborating across multiple departments (Product, Engineering,: Marketing, Sales, etc.) and aligning stakeholders with different priorities toward shared outcomes.
- Experience communicating with and presenting to senior leadership at the: Director+ level, both in writing and live settings.
- Hands-on experience with product management and engineering tools (Jira,: Confluence, GitHub, or similar), with a willingness to build and improve tooling as needs evolve.
- Experience working in ambiguous environments where you've had to define the: approach, prove out value quickly, and iterate, not just maintain an existing playbook.
