Technical Escalations Engineer 2 (Revenue and Cost Management) - APJNew$46K–$183K

The opportunity

As Datadog’s in-house product experts, the Technical Escalation Engineering (TEE) team plays a critical role in driving our global success. We enable our customers, from the world’s most innovative startups to the largest enterprises.

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.

What they're looking for

  • 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.