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.
What they're looking for
- + years of software engineering, technical product management, or other relevant technical experience.
- Experience with GitHub for CI/CD, documentation workflows, or collaboration with engineering teams.
- Proficiency in programming languages or SQL for data analysis, automation, or scripting
- Experience building or deploying AI agents or automated workflows using frameworks
- Professional use of AI tools such as Claude, ChatGPT, or Cursor, including: prompt engineering and integrating AI into day-to-day workflows.
