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About the Role

As Datadog’s in-house product experts, the Technical Escalation Engineering (TEE) team plays a critical role in driving our global success by enabling customers through deep technical expertise, problem-solving, and customer engagement. You will tackle challenging technical problems, collaborate with Engineering and Product to refine the platform, and mentor teams worldwide.

Responsibilities

Become the expert on usage metering, revenue-impacting behavior, and Cloud Cost Management to help customers optimize usage and control spend.
Lead escalations involving unexpected usage, missing metering data, usage spikes, billing anomalies, unclear attribution, or limits enforcement.
Partner closely with Product, Engineering, and Finance to escalate bugs, align on expected behavior, and improve usage visibility.
Build internal guides, tooling, diagnostics, and playbooks, plus customer-facing content, to handle billing- and revenue-related questions.
Enable the global Solutions team by running training sessions and building scalable resources.
Act as a voice of the customer, surfacing feedback and patterns to help shape the roadmap for usage visibility, billing transparency, and cost management.

Requirements

Curious and detail-oriented regarding usage measurement, attribution, and billing across products.
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) 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.
Familiar with APIs, product usage metrics, tagging strategies, and account-level configurations.
Experienced working across technical and business boundaries.
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.
Computer Science or Engineering majors (bonus points).
Experienced in using Zendesk, Jira, Confluence, or similar software (bonus points).
Familiarity with Datadog, integrations ecosystem, or similar observability platforms (strong plus).

Skills

Usage metering
Cloud Cost Management
Billing anomalies
Cloud billing models (AWS, Azure, GCP)
APIs
Product usage metrics
Tagging strategies
Telemetry pipelines
Data analysis
Customer communication

Location

Hybrid

Work Type

Hybrid

Experience Level

Mid-level

Education Level

Bachelor's degree in Computer Science or Engineering (preferred)

Salary/Compensations

$85,000—$113,000 USD

Benefits

Product training
Continuous career development and pathing opportunities
Intra-departmental mentor and buddy program
Inclusive company culture
Community Guilds
New hire stock equity (RSUs)
Employee stock purchase plan (ESPP)
Free global mental health benefit through Spring Health
Generous global benefits
Healthcare
Dental
Parental planning
Mental health benefits
401(k) plan and match
Paid time off
Fitness reimbursements
Discounted employee stock purchase plan

About the Company

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale.
It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.

Equal Opportunity

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.