FACTANKER · measured, cited, anchored official records connected

job posting · greenhouse

Datadog, Inc.: Manager I, Engineering - Sensitive Data Scanner

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

POSTED: 2026-08-03Listed

Cite: FACTANKER, https://factanker.com/jobs/posting/9f44d557-86ca-4acd-8a54-fbbc0939c8ea

Employer
Datadog, Inc.
Location
Paris, France
Category
Leadership
Posted
2026-08-03
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.

We’re looking for an Engineering Manager to lead our Sensitive Data Scanner (SDS) Telemetry team. The SDS group’s mission is to be the world’s easiest-to-use tool to discover, classify, manage, and report sensitive data risks across cloud, on-premise, and code environments. This team builds and scales the detection capabilities that scan all telemetry data flowing into Datadog — logs, APM spans, and RUM events — operating in streaming, at processing time, and at very large scale. You’ll lead a small, close-knit team based in Paris, with the opportunity to shape how the team grows as SDS Telemetry’s scope expands. It’s a chance to combine hands-on technical leadership with direct customer and product impact in the security and observability space. At Datadog, we place value in our office culture — the relationships and collaboration it builds and the creativity it brings to the table. We…

Provenance

Official posting
https://careers.datadoghq.com/detail/8102794/?gh_jid=8102794
Retrieved
2026-09-09 15:48:43.561141+02:00
ATS reference
8102794

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 - Sensitive Data Scanner 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.