Client Platform Engineer (AI & Automation)

Join Nextdoor as a Client Platform Engineer, where you'll connect IT and Engineering for AI tools and automation. You'll manage the IT platforms that keep these tools safe and scalable, oversee governance and reviews for new agents and connectors, track usage and adoption, and manage costs and licenses. Your work will help make AI a valuable resource across the company.

• Connect IT and Engineering for AI tools and automation, managing IT platforms for safety and scalability.
• Handle identity and access for non-human and user-delegated agent identities in Okta, overseeing governance and reviews.
• Work with teams in Business Technology, Engineering, Security, and Finance to create processes that help teams launch AI tools quickly.
• Working knowledge of OAuth 2.0, OIDC, and service account or workload identity patterns across Google Cloud and AWS, including the ability to spot anti-patterns (e.g., domain-wide delegation, over-scoped service account keys) before they reach production
• Comfortable writing scripts to automate IT operations in Python, Bash, or similar, and experience operating CI/CD or scheduled-job patterns (GitHub Actions, cron) for IT automation
• Strong written communication and the ability to author internal standards, runbooks, and review documentation that other teams will actually use
• 5+ years in IT engineering, client platform engineering, or IAM-focused security engineering, with clear ownership of production identity and access systems. And/or the ability to perform at an advanced level in the domain
• Familiarity with at least one observability platform, with Datadog preferred, including building dashboards, alerts, and ingestion pipelines from third-party APIs
• Deep hands-on Okta administration experience, including SSO/SAML/OIDC, SCIM, group rules, sign-on policies, and access certification, with a strong understanding of audit and SOX implications
• Hands-on experience with AI development tools (Claude, GitHub Copilot, LangChain, etc.) as a practitioner, not just an administrator
• Direct experience with Claude Enterprise, GitHub Copilot, Cursor, or comparable AI tooling deployed at enterprise scale, including license and seat governance
• Working knowledge of MCP (Model Context Protocol), agent integration patterns, or comparable agent-to-tool connector frameworks
• Background working alongside Engineering on shared platform tooling, with the ability to operate at the boundary of IT and Engineering ownership
• Experience with Jamf Pro and macOS endpoint management
• Prior involvement in SOX access certification or quarterly UAR processes
• Experience evaluating SaaS vendors and MCP or connector marketplaces for security posture, data flow, and supply-chain risk
• Experience with AI governance frameworks (NIST AI RMF, ISO 42001, EU AI Act)
• Familiarity with Workato, <Tray.io>, Okta Workflows, or other iPaaS platforms
• IT certifications (Okta, Jamf, Google Cloud, AWS, or similar)