People Systems Developer

Datadog · Boston, Massachusetts, USA; Denver, Colorado, USA; New York, New York, USA · People · listed May 14, 2026

The shape of it

Seniority
Mid level
Experience asked
3–5 years
Where
Hybrid
Stated pay
$156,000 – $195,000 USD
Requirements listed
8
Length
1,153 words

In the posting’s own words

Success in this role includes reducing manual People workflows by at least 20% through AI-enabled automation and intelligent system design.

What it asks for · 8

  • 3-5 years of experience in software engineering, systems engineering, or advanced automation.
  • Proven ability to build and integrate LLM-powered features or intelligent agents into production, utilizing leading Frontier models (e.g., OpenAI, Anthropic, Gemini) and hands-on experience with coding agents/CLIs (e.g., Claude Code, Cursor).
  • Strong API integration and workflow automation experience, using tools such as n8n, Zapier, or Workato.
  • Familiarity with HR systems (Workday, Greenhouse, or similar) preferred.
  • Comfortable operating independently in a fast-moving, low-structure environment.
  • Able to translate complex technical systems into clear, practical solutions for business stakeholders.
  • Skilled at using qualitative data to guide decisions, measure effectiveness, and iterate.
  • Thoughtful about privacy, governance, and responsible AI practices — especially in sensitive HR contexts.

Also a plus

  • Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
  • You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

What the job covers

  • Design, build, test, and implement AI-enabled workflows and tools, moving from proofs of concept to full production and adoption based on user feedback.
  • Rapidly prototype using LLMs, APIs, and automation frameworks — and move validated ideas into secure, scalable production systems.
  • Integrate AI capabilities into our ecosystem (Workday, Greenhouse, Slack, Snowflake, Jira, Google Workspace, and more).
  • Partner directly with stakeholders like People Analytics, HRBPs, IT, Legal, and Security to ensure solutions are usable, compliant, and follow responsible AI practices.
  • Evaluate AI tools and vendors through hands-on experimentation.
  • Enable the broader People team to adopt AI effectively and responsibly.

Tools and skills named

Cloud & infra
  • Datadog4×
Data
  • Experimentation2×
  • Snowflake2×
Models & research
  • LLM4×
Ways of working
  • Jira2×
  • Slack2×
Security & compliance
  • Security2×
Operations & finance
  • Recruiting

Words the posting leans on

  • systems11×
  • people9×
  • automation7×
  • tools7×
  • workflows7×
  • build6×
  • experience6×
  • production6×
  • ai-enabled5×
  • hands-on5×
  • solutions5×
  • stakeholders5×
  • design4×
  • e.g4×
  • ensure4×
  • integrate4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Datadog on August 24, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.