Available LocationsAbout the RoleCloudflare's People team supports 5,000+ employees globally. To scale, we are building an AI-driven operating layer on the Cloudflare Developer Platform to automate workflows, ensure data integrity, and streamline employee support.
You will ship production systems for hiring, onboarding, and self-service, using AI to create leverage while designing rigorous guardrails for sensitive employee data.
Leveraging Cloudflare Dev Platform primitives like Workers, Workflows, Access, Hyperdrive (Postgres), R2, and Workers AI / AI Gateway for durable, secure, and observable automation.
Responsibilities- AI-assisted intake for request classification, retrieval-augmented responses, and case routing.
- Recruiting automation for Greenhouse job creation and management chain synchronization.
- Self-service tools for policy guidance, approvals, and employee lifecycle changes.
- Durable multi-step Workflows for onboarding, offboarding, and recurring audits.
- AI copilots that summarize context and suggest next actions for human review.
- Data reconciliation systems and exception queues for cross-system accuracy.
- Observable audit pipelines for explainable decision-making.
- Custom interview automation and internal technical assessment tooling.
- Design and operate AI-assisted workflows using the full Cloudflare stack.
- Integrate People systems via secure API, OAuth, and webhook patterns.
- Collaborate with HR, IT, Legal, and Security to translate operational pain into technical solutions.
- Implement robust authorization, audit logging, and error handling for high-trust data.
Desirable Skills, Knowledge, and Experience- Strong engineering background (TypeScript, Python, or Go) building internal tools or platform services.
- Practical experience with LLMs, RAG, tool calling, and prompt evaluation.
- Expertise in system-to-system integrations, identity, and event-driven workflows.
- Exceptional judgment regarding privacy, data minimization, and operational risk.
Bonus Points- Prior experience in internal platform engineering or compliance-heavy environments.
- Proficiency with React, Drizzle, Zod, and Postgres.
