Datadog
People Systems Developer
About this role
Datadog seeks a People Systems Developer to architect and deploy AI-driven workflows that revolutionize hiring, onboarding, performance management, and employee support. You'll prototype with LLMs and automation frameworks, then scale validated solutions into production across integrated HR platforms. This hands-on role offers high autonomy to measurably improve People team efficiency through responsible AI implementation.
What you'll do
- Design, build, and deploy AI-enabled workflows from proof-of-concept through full production adoption
- Rapidly prototype using LLMs, APIs, and automation frameworks, then migrate to secure, scalable systems
- Integrate AI capabilities across Workday, Greenhouse, Slack, Snowflake, Jira, and Google Workspace
- Partner with stakeholders across People Analytics, HRBPs, IT, Legal, and Security to ensure compliance and responsible AI
- Evaluate and experiment with AI tools and vendors to identify best solutions
- Enable the broader People team to adopt AI effectively while maintaining governance standards
What they're looking for
- LLM development and integration with frontier models (OpenAI, Anthropic, Gemini)
- API integration and workflow automation tools (n8n, Zapier, Workato)
- Software or systems engineering with 3-5 years experience
- HR systems knowledge (Workday, Greenhouse preferred)
- Coding agents and CLIs (Claude Code, Cursor)
- Independent problem-solving in fast-moving environments
- Privacy, governance, and responsible AI practices
- Stakeholder communication and requirements translation
Benefits
- Hybrid work arrangement supporting work-life harmony
- Office culture emphasizing collaboration and creativity
- High autonomy with direct stakeholder partnerships
- Opportunity to build high-impact AI systems at scale
- Exposure to diverse HR technology ecosystem
Opens the official application on the employer’s site. No login required.
Datadog
Datadog builds monitoring and observability platforms that help enterprises manage complex infrastructure and applications. The company is hiring sales engineers, technical support specialists, and technical solutions architects to drive customer success, deliver expert technical assistance, and architect enterprise platforms.
- Website
- datadoghq.com
Likely interview questions
- Walk us through a production LLM-powered feature or intelligent agent you've built end-to-end. How did you move from prototype to deployment, and what were the biggest technical challenges?
- Describe your experience integrating APIs and building workflows using tools like n8n, Zapier, or Workato. What's the most complex automation you've shipped, and how did you handle edge cases?