> Markdown version of [/jobs/ext/185999-people-systems-developer](https://www.wearedevelopers.com/jobs/ext/185999-people-systems-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # People Systems Developer - **Company:** Datadog - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $145,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, JIRA, Cursor (Graphical User Interface Elements), HR Analytics, Software Construction, Software Engineering, Datadog, Large Language Models, Snowflake, Zapier, HR Software, Slack, Nintex, Gsuite, Workday - **Published:** May 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0f0561654839fd93 ## About the Role Do you have experience in Zapier?, * 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. Bonus * 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. ## Description * 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. Success in this role includes reducing manual People workflows by at least 20% through AI-enabled automation and intelligent system design. 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. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Stack Overflow: Community and AI](https://www.wearedevelopers.com/videos/600-stack-overflow-community-and-ai) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Cloud as the new mainframe: why the cloud hype does not reflect the dev reality](https://www.wearedevelopers.com/videos/797-cloud-as-the-new-mainframe-why-the-cloud-hype-does-not-reflect-the-dev-reality) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 166: Sycophancy, Zip bombs and AI Native Development](https://www.wearedevelopers.com/magazine/585-dev-digest-166-sycophancy-zip-bombs-and-ai-native-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)