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.
The posting, your resume, and the gaps between them. One click loads all three.
More open at Datadog
- AI Research Engineer - Datadog AI Research (DAIR)Paris, France
- AI Research Scientist - Datadog AI Research (DAIR)Paris, France
- AI Research Scientist - Datadog AI Research (DAIR)New York, New York, USA; Pittsburgh, Pennsylvania, USA
- Area Vice President, Sales EngineeringBoston, Massachusetts, USA; Denver, Colorado, USA; New York, New York, USA; San Francisco, California, USA
- Associate Field Marketing Manager (US East and Canada)New York, New York, USA
- Associate Growth Marketing ManagerNew York, New York, USA; San Francisco, California, USA