FACTANKER · measured, cited, anchored official records connected

job posting · greenhouse

Datadog, Inc.: Senior Sales Engineer - Public Sector (UK)

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

POSTED: 2026-06-29Listed

Cite: FACTANKER, https://factanker.com/jobs/posting/e9288f0a-45f7-400d-abd3-482733b68249

Employer
Datadog, Inc.
Location
London, United Kingdom
Category
Enterprise Sales Engineering
Posted
2026-06-29
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.

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any…

Provenance

Official posting
https://careers.datadoghq.com/detail/8030214/?gh_jid=8030214
Retrieved
2026-09-09 15:48:43.561141+02:00
ATS reference
8030214

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

Every figure shown here about Senior Sales Engineer - Public Sector (UK) 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.