Datadog

Product Operations Manager

Datadog$131K — $164K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of product operations or program management experience.
  • Strong ability to collaborate across diverse teams.
  • Proven communication skills for presenting to senior leadership.
  • Hands-on experience with product management tools (e.g., Jira, Confluence).
  • Experience navigating and defining processes in ambiguous environments.
  • Ability to lead through influence and build cross-team trust.

Responsibilities

  • Own and enhance the entire Product Development Life Cycle.
  • Create AI-driven workflows to automate operational tasks.
  • Develop a centralized source for product launch information.
  • Ensure effective product knowledge and resource availability for teams.
  • Analyze product and customer data to generate actionable insights.

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
  • Continuous professional development and career pathing opportunities.
  • Intra-departmental networking through a mentor and buddy program.
  • Inclusive company culture with community guilds for engagement.
  • Access to internal discussions and panel events on inclusivity.
  • Global health benefits for employees and dependents.
Full Job Description
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.

As a Product Operations Manager, you will help the product organization do its best work. You'll build and scale the processes, frameworks, and cross-functional workflows that enable PMs and their partners to ship effectively. This includes touchpoints with inbound, delivery, outbound workstreams in product development. This is a role for someone who thrives in the space between teams: driving alignment, removing friction, and ensuring that the operational foundations of the product org can keep pace with Datadog's growth.

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.
Who You Are:
  • 4+ years of experience in product operations, program management, or a related relevant experience
  • 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.
  • Demonstrated ability to lead through influence rather than authority, building trust and driving outcomes across teams you don't directly manage.
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.

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 & 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 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:

$131,200-$164,000 USD

About Datadog

Datadog is a monitoring and analytics platform for cloud-scale infrastructure and applications. The company was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc and is headquartered in New York City. Datadog's platform assists organizations in improving agility, increasing efficiency, and providing end-to-end visibility across dynamic or high-scale infrastructures. The company's SaaS-based data analytics platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of customers' entire technology stack. Datadog's customers include Airbnb, Twilio, and The Washington Post.
Learn more about Datadog
Size
3,200 employees
Market Cap
$22.5 billion
Industry
Net Income
-$24.5 million
Founded
2010
Revenue
$603.4 million
NASDAQ

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