Datadog

Technical Escalations Engineer 2 (Revenue and Cost Management) - US-East

Datadog$85K — $113K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in cloud cost management or technical solutions
  • Strong understanding of cloud billing models (AWS, Azure, GCP)
  • Familiarity with API data exposure and billing exports
  • Analytical skills for interpreting telemetry and cost impact data
  • Excellent communication skills for technical and non-technical audiences
  • Experience with tools like Zendesk, Jira, and Confluence
  • Comfortable working with ambiguity and data anomalies

Responsibilities

  • Optimize customer usage and control spending across Datadog products
  • Lead escalations for billing anomalies and usage discrepancies
  • Collaborate with Product, Engineering, and Finance teams to improve billing transparency
  • Create guides and tools for billing and revenue-related inquiries
  • Conduct training for the global Solutions team on usage and cost conversations
  • Gather customer feedback to influence the product roadmap
  • Develop scalable resources and content for internal and customer use

Benefits

  • In-depth product training for skill enhancement
  • Career development and internal mobility opportunities
  • Mentor and buddy program for networking
  • Inclusive culture with Community Guilds participation
  • Stock equity options and employee stock purchase plan
  • Global mental health support via Spring Health
  • Comprehensive global benefits package
Full Job Description
What You'll Do:
  • Become the expert on usage metering, revenue-impacting behavior, and Cloud Cost Management within Technical Solutions, helping customers optimize usage and control spend across all Datadog product lines.
  • Lead escalations involving unexpected usage, missing metering data, usage spikes, billing anomalies, unclear attribution, or limits enforcement (e.g., quotas, plans, exclusions, overages).
  • Partner closely with Product, Engineering, and Finance to escalate bugs, align on expected behavior, improve usage visibility, and drive transparency and fairness in billing and usage tracking.
  • Build internal guides, tooling, diagnostics, and playbooks - plus customer-facing content - that help teams confidently handle billing- and revenue-related questions and forecast, reduce, and monitor observability costs.
  • Enable the global Solutions team by running training sessions and building scalable resources that empower others to support usage, billing, and cost-related conversations effectively.
  • Act as a voice of the customer, surfacing feedback and patterns to help shape the roadmap for usage visibility, billing transparency, and cost management.


Who You Are:
  • Curious and detail-oriented when it comes to how usage is measured, attributed, and billed across products - including usage limits, overages, metering discrepancies, plan entitlements, and customer contract constraints.
  • Passionate about helping customers optimize their cloud footprint, with a strong grasp of cloud cost drivers, usage attribution, and spend analysis.
  • Familiar with cloud billing models (AWS, Azure, GCP) - usage types, tags, accounts/projects - and how that data is exposed via APIs and billing exports.
  • Comfortable digging into data retention, high-cardinality signals, metric volume, log ingestion, and overage prevention, and able to translate telemetry volume into cost impact.
  • Familiar with APIs, product usage metrics, tagging strategies, and the nuances of account-level configurations and multi-org setups.
  • Experienced working across technical and business boundaries - equally
  • comfortable with backend telemetry pipelines and customer-facing impact and urgency.
  • Analytical and precise, able to communicate usage and cost impact clearly to both technical and non-technical stakeholders.
  • Comfortable working with ambiguity, data anomalies, and edge cases, and committed to finding root causes that drive customer trust.


Bonus points
  • Computer Science or Engineering majors
  • Experienced in using Zendesk, Jira, Confluence, or similar softwares.
  • Familiarity with Datadog, integrations ecosystem, or similar observability platforms is a strong plus.


Benefits & Growth:
  • Product training to develop an in-depth understanding of our product and space
  • Continuous career development and pathing opportunities for internal mobility
  • Intra-departmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Free global mental health benefit through Spring Health
  • Generous 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:

$85,000-$113,000 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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