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GustoGustoSan Francisco, CA

Software Engineer, People Technology

Full-stack engineer building and owning PeopleOS, an AI-native internal HR platform, plus integrations and AI tooling for People Ops workflows.

198k – 247k/yr
Hybrid3+ YOEFullstack Engineering

About the role

Product Engineering — PeopleOS

  • Be the technical owner for PeopleOS, our internal AI-powered HR platform
  • Partner directly with People Ops stakeholders to translate workflows into working software driving technical design, implementation, UAT support, and release

Integration & Systems Development

  • Design, build, test, and maintain integrations across Workday, Greenhouse, Lattice, Slack, and Google Workspace
  • Build and maintain custom MCP (Model Context Protocol) servers that give AI agents structured access to People Systems data

AI-Powered Tooling

  • Integrate the Anthropic API (Claude) to build intelligent internal tools including QPR coaching agents, HR front door chatbots, and ticket deflection workflows
  • Design prompts, handle structured outputs, and build safe, reliable AI-assisted workflows for People Ops use cases

Collaboration & Quality

  • Document integration specs, data mappings, and system configurations in Notion
  • Participate in Jira sprint planning and demo work to stakeholders bi-weekly
  • Troubleshoot issues, identify root causes, and proactively implement corrective actions across the portfolio

Requirements

  • 3–5 years of full-stack software engineering experience, with production-quality work in Python, TypeScript/Node.js, or both
  • Strong experience building and consuming REST APIs — including OAuth flows, rate limiting, pagination, and error handling
  • Demonstrated ability to integrate SaaS platforms (bonus: Workday, Greenhouse, Slack, or Google Workspace)
  • Comfort with AI/LLM API integration — Anthropic Claude, OpenAI, or equivalent — including prompt design and response parsing
  • Experience shipping internal tools or developer tooling with real end users and feedback loops
  • Strong written communication: you can document your own APIs, write a clear tech spec, and explain trade-offs to non-engineers
  • An understanding of sensitivity of HR data and familiarity with implications of labor law and data retention guidelines

Preferred

  • Familiarity with MCP (Model Context Protocol) server architecture
  • Experience with HR Tech ecosystems: HRIS, ATS, LMS platforms
  • Background in People Ops, HR Systems, or internal tools engineering at a high-growth tech company
  • Experience with XML, XSLT, JSON, and related integration technologies

Skills

PythonTypeScriptNode.jsREST APIsOAuthAnthropic ClaudeOpenAIWorkdayGreenhouseSlackGoogle WorkspaceMCPXMLXSLTJSON

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