Staff Software Engineer, AI Tools

About the role

Pinterest is hiring a Staff Software Engineer focused on AI tools and enterprise AI connectivity. The role centers on secure integrations, custom MCP servers, and cross-functional technical leadership for collaboration and productivity platforms.

Responsibilities

• Own third-party AI tools connectivity end-to-end
• Define secure AI integration standards, guardrails, and reusable patterns
• Build and operate custom MCP servers and integrations for internal tools
• Integrate AI tools into Pinterest's skill registry
• Lead incident response and root-cause analysis for high-impact integration issues
• Drive long-term fixes and learning-oriented postmortems
• Build automation and integrations to streamline connector lifecycle, configuration as code, and health/usage monitoring
• Integrate AI tools with identity, security, and IT workflows
• Use AI assistants to draft code, templates, tests, documentation, and runbooks while validating outputs
• Lead cross-functional projects from design through production
• Mentor engineers by reviewing designs and implementations and sharing best practices
• Represent the team with internal stakeholders and external vendor engineering teams

Additional responsibilities

• Partner closely with Security, Networking, Legal, People, and Engineering
• Shape the long-term architecture for secure AI connectivity
• Drive major cross-functional initiatives
• Collaborate on secure transport and tunnel deployments
• Collaborate on connector migrations
• Roll out integration standards
• Work across diverse teams and locations while modeling Pinterest values

Requirements

• 7+ years of professional software engineering experience
• Hands-on ownership of production services or platform integrations in a medium-to-large environment
• Experience with authentication and authorization, including OAuth 2.0/2.1, OIDC, SAML, token exchange, and PKCE
• Strong systems design and troubleshooting across clients, network, identity, edge/ingress, and backend services
• Experience building and integrating APIs and services, including REST/RPC, webhooks, and SDKs
• Track record of operating at a staff-level scope and owning impactful outcomes
• Ability to lead and mentor other engineers and partner effectively with stakeholders

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience

Skills

• Java
• TypeScript/Node
• API design
• Backend services
• Software design and architecture
• OAuth 2.0/2.1, token exchange, PKCE
• MCP (Model Context Protocol)
• SSO, IdP, SCIM, DLP
• Logging, ITSM, CI/CD, observability
• Automated testing, code review, secure production rollout
• REST, RPC, webhooks, SDKs
• Slack, Google Workspace, Atlassian
• Claude, Glean, Granola, AI tools

Nice to have

• Familiarity with the Model Context Protocol and the emerging AI-connector/gateway ecosystem
• Kubernetes/EKS and infrastructure-as-code (Terraform)
• Security, privacy, and compliance controls relevant to external integrations
• Proven use of AI tools to speed up engineering work with validation, bias reduction, and reliability/security safeguards

Pay

$178.3K–368.7K/yr

Schedule

Full-time