FACTANKER · measured, cited, anchored official records connected

job posting · greenhouse

Datadog, Inc.: Manager, Mid Market - Brazil

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

POSTED: 2026-04-09Listed

Cite: FACTANKER, https://factanker.com/jobs/posting/bf7f816d-8a63-4d21-b940-315edc832ef3

Employer
Datadog, Inc.
Location
Sao Paulo, Brazil
Category
Mid-Market Sales
Posted
2026-04-09
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 a Manager, Mid-Market Sales, you will provide strategy, mentorship, and guidance for a team of Mid-Market Account Executives. This role impacts one of the largest lines of business in the company, ultimately bringing a proven product to a multi-billion dollar market and selling into companies from 1,000 to 5,000 employees. 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: Motivate your team to exceed objectives Develop and maintain accurate team forecasts Hire, oversee, and train a team of Mid-Market Account Executives Drive lead generation, high activity standards, and pipeline management Facilitate the ramp up for all new team members, coaching them to success Monitor the…

Provenance

Official posting
https://careers.datadoghq.com/detail/7800409/?gh_jid=7800409
Retrieved
2026-09-09 15:48:43.561141+02:00
ATS reference
7800409

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

Every figure shown here about Manager, Mid Market - Brazil 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.