Datadog
Manager I, Engineering - Cloud FinOps
New York, New York, USA
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Datadog's Cloud FinOps team answers a question the business runs on: what does each product and each customer actually cost us to serve?
- Finance uses this team's output to close Datadog's books, Product uses it to compare cost to serve against what a customer pays, and engineering leaders use it to catch cost movements before they compound.
- The core engineering problem is reproducibility: every dollar of cloud cost is placed against the product and customer that caused it, with lineage on every result and closed periods that replay exactly.
Responsibilities
- Own the publication contract with Finance: versioned metrics with effective dates, backfill, and reproducible history, so any closed period can be replayed on demand and trusted for close.
- Partner with Revenue Engineering on the cost-to-revenue identity join that turns cost data into margin per product and per customer.
- An engineering leader with experience managing data platform or data engineering teams building batch and pipeline systems judged on correctness and reproducibility.
- You operate without a product manager in the loop on the external half of the job: you set the contracts, negotiate the boundaries, and drive the roadmap yourself.
Requirements
- You've held a delivery commitment with a team outside your reporting line, and you can describe what happened the first time a contract was missed.
- You bring domain experience in metering, usage-based billing, cloud cost, revenue data, or financial data platforms.
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Skills
- what does each product and each customer actually cost us to serve?
- The core engineering problem is reproducibility:
Compensation
- $200,000 - $250,000 USD
Benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
- Datadog offers a competitive salary and equity package, and may include variable compensation.
- Own the metric contracts with platform teams across Engineering, shifting cost facts to the teams that generate the cost so coverage growth stops scaling linearly with your headcount.
- Drive continuous improvement in product and customer cost coverage and accuracy, and hold delivery commitments with teams that don't report to you.
- Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Company info
- It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
- Datadog values people from all walks of life. We understand 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 skills, we encourage you to apply.
- 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.
Equal opportunity
- Equal Opportunity at Datadog:
- This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Visa & Work Authorization
- t 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
This listing is sourced directly from Datadog's careers page and normalized into a canonical job model.