Product Operations Manager
Job Description
Datadog is hiring a Product Operations Manager in New York, NY (hybrid) with a salary range of USD 131,000 to 164,000 per year.
Responsibilities
- Own and optimize the full Product Development Life Cycle and drive operational excellence for product launches; coordinate with Product, Engineering, Marketing, Sales, Customer Success, and Support to ensure readiness to deliver quality products and strong customer support.
- Design AI powered workflows and agents to automate and speed up operational tasks, including customer feedback triage, launch tracking, and cross‑functional reporting; test and deploy AI tools to help the product organization move faster and smarter.
- Establish and maintain a single source of truth for launches, providing cross‑functional partners real‑time visibility into shipping status, timelines, and required inputs from each team.
- Lead centralized product knowledge and enablement, equipping PMs and stakeholders with the tools, templates, and context they need, while ensuring resources are easily discoverable.
- Analyze and quantify product signals by querying data from product, CRM, and customer systems to surface high‑signal insights; aggregate feature requests, identify revenue opportunities, and assess the impact of product decisions; translate data into actionable recommendations for PMs and leadership.
Requirements
- 4+ years of experience in product operations, program management, or a related field.
- Experience collaborating across multiple departments (Product, Engineering, Marketing, Sales, etc.) and aligning stakeholders with different priorities toward shared outcomes.
- Experience communicating with senior leadership at the Director level or higher, in writing and in live presentations.
- Hands‑on experience with product management and engineering tools such as Jira, Confluence, GitHub, or similar, with a willingness to build and improve tooling as needs evolve.
- Experience working in ambiguous environments where you define the approach, prove value quickly, and iterate rather than simply maintaining an existing playbook.
- Demonstrated ability to lead through influence rather than formal authority, building trust and driving outcomes across teams you do not directly manage.
Technologies
- Jira
- Confluence
- GitHub
- SQL
- Claude
- ChatGPT
- Cursor
Benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intra‑department mentor and buddy program for in‑house networking
- An inclusive company culture with Community Guilds to join
- Access to Inclusion Talks, internal panel discussions
- Free global Spring Health benefits for employees and dependents age 6+
- Competitive global benefits
Preferred Qualifications
- 2+ 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.