People Systems Developer

Datadog’s People Technology team is building the future of AI at work. We’re looking for a People Systems Developer to design and deploy AI-native workflows that transform how we hire, develop, and support our employees. This is a high-impact hands-on builder role. You’ll move beyond traditional HRIS configuration to prototype and productionize AI-enabled systems across talent acquisition, onboarding, performance, workforce planning, and internal service delivery. You’ll operate with high autonomy, partner directly with stakeholders, and ship solutions that measurably improve how our People team works. 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. What You’ll Do - 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. Who You Are - 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. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - Generous and competitive global and US benefits - New hire stock equity (RSUs) and employee stock purchase plan - 401(k) Plan and match - Flexible time off - Paid parental leave - Gym reimbursement - Continuous career development and pathing opportunities - Product training to develop an in-depth understanding of our product and space - Internal mentor and buddy program cross-departmentally - Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-#LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $145,000—$215,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security int

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.

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.