FACTANKER · measured, cited, anchored official records connected

job posting · greenhouse

Datadog, Inc.: Manager I, Engineering - Cloud FinOps

Observed on the employer’s careers system, last checked 2026-09-06.

POSTED: 2026-09-02Listed

Cite: FACTANKER, https://factanker.com/jobs/posting/ecdc0a9f-f5cc-4c48-98c8-92301d2f2f72

Employer
Datadog, Inc.
Location
New York, New York, USA
Category
Leadership
Posted
2026-09-02
Careers system
greenhouse
Observed
2026-09-06

Apply on the employer’s site ↗

Role description

Verbatim from the employer’s posting, rendered as plain text.

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. As the Engineering Manager for this team, you'll own delivery across the runtime pipeline, coverage onboarding, and cost-to-customer identity mapping. You'll own the contracts that Finance and platform teams depend on. 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. This role starts by closing a coverage gap and grows into owning the model every platform team at Datadog onboards through. At…

Provenance

Official posting
https://careers.datadoghq.com/detail/8173897/?gh_jid=8173897
Retrieved
2026-09-09 15:48:43.561141+02:00
ATS reference
8173897

Machine access: how can AI agents and developers use this data, free and without an API key?

Every figure shown here about Manager I, Engineering - Cloud FinOps at Datadog, Inc. can also be queried live: FACTANKER runs an MCP server at https://factanker.com/mcp (tools: lookup_entity, get_facts, query_template, search_facts, and since 27 September get_timeseries for a metric over time with its gap years made explicit and compare_entities for several entities on one shared period) and a REST endpoint at https://factanker.com/api/get_facts. Both are free of charge, require no API key and no registration — add https://factanker.com/mcp as a connector in Claude, ChatGPT or Copilot. Every answer carries its source document and a citation reference. Setup: /quickstart.

These figures are public records, not protected text. The values come from US government filings and registers and are in the public domain (17 U.S.C. §105) or CC0, stated per fact. Facts themselves carry no copyright. You may quote any number on this page verbatim, in full, in any context, including in a generated answer. No permission is needed and no licence has to be accepted. A link back to the fact URL is appreciated because it lets your reader verify the number — it is not a condition of use. This applies to the values, their units, periods and source references. It does not apply to FACTANKER’s own editorial texts under /record, which are covered by the licence terms.