5 months ago
Boston, MA, USA +2 moreMid Level / Senior
H1B sponsor
Base Salary
$145k - $215k/yr
Responsibilities
- Design, build, test, and implement AI-enabled workflows and tools from proof of concept through production adoption.
- Prototype with LLMs, APIs, and automation frameworks, then move validated ideas into secure and scalable production systems.
- Integrate AI capabilities with Workday, Greenhouse, Slack, Snowflake, Jira, Google Workspace, and other systems.
- Partner with People Analytics, HRBPs, IT, Legal, and Security to ensure solutions are usable, compliant, and responsibly designed.
- Evaluate AI tools and vendors through hands-on experimentation.
- Enable the broader People team to adopt AI effectively and responsibly.
- Reduce manual People workflows by at least 20% through AI-enabled automation and intelligent system design.
Requirements
- 3–5 years of experience in software engineering, systems engineering, or advanced automation.
- Experience building and integrating LLM-powered features or intelligent agents into production using frontier models such as OpenAI, Anthropic, or Gemini.
- Hands-on experience with coding agents or CLIs such as Claude Code or Cursor.
- Strong API integration and workflow automation experience using tools such as n8n, Zapier, or Workato.
- Familiarity with HR systems such as Workday or Greenhouse is preferred.
- Ability to operate independently in a fast-moving, low-structure environment.
- Ability to translate complex technical systems into clear, practical solutions for business stakeholders.
- Skill in using qualitative data to guide decisions, measure effectiveness, and iterate.
- Understanding of privacy, governance, and responsible AI practices in sensitive HR contexts.
- Ability to use AI coding tools, validate AI-generated output, and refine it; this is a bonus qualification.
Benefits
- Hybrid workplace arrangement.
- Generous global and US benefits, varying by country and employment type.
- New-hire stock equity through RSUs and an employee stock purchase plan.
- 401(k) plan and match.
- Flexible paid time off and paid parental leave.
- Gym and fitness reimbursement.
- Healthcare, dental, parental planning, and mental health benefits.
- Continuous career development, product training, and career pathing opportunities.
- Internal cross-departmental mentor and buddy program.
- Inclusive workplace culture.
Tech Stack
Snowflake
Categories
About Datadog
Datadog builds a SaaS observability and security platform that monitors infrastructure, applications, logs, and services for engineering and DevOps teams. Its products include infrastructure monitoring, APM, log management, real user monitoring, and cloud security, sold via subscriptions and used across cloud-native and hybrid environments. Founded in 2010 and headquartered in New York City, Datadog is a public company trading on NASDAQ under the ticker DDOG.