datadog
People Systems Developer
At a Glance
- Location
- Boston, Massachusetts, USA; Denver, Colorado, USA; New York, New York, USA
- Work Regime
- hybrid
- Experience
- 3–5 years
- Posted
- 2026-05-14T17:43:58-04:00
Key Requirements
Domain Knowledge
- Automation
- Engineering
Requirements
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.
Able to translate complex technical systems into clear, practical solutions for business stakeholders.
Thoughtful about privacy, governance, and responsible AI practices — especially in sensitive HR contexts.
Compensation & Benefits
Generous and competitive
global
and
US benefits
New hire stock equity (RSUs) and employee stock purchase plan
401(k) Plan and match
Responsibilities
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.