• Own the strategy and roadmap for Glean connectors across our core SaaS tools (e.g., Microsoft 365/SharePoint/OneDrive, Slack, Jira, Confluence, Salesforce, Freshservice, GitLab, Zoom, Gong and others), including evaluation, rollout, and ongoing optimization. • Build and maintain integrations using native Glean connectors and custom solutions via APIs/SDKs, webhooks, and ingestion pipelines; define schemas, mappings, permissions models, and crawl schedules for performance and freshness. • Ensure robust authN/authZ patterns (OAuth 2.0/OIDC, service principals, app registrations), secure secrets management, and consistent RBAC/group sync via SCIM for precise permission mirroring. • Instrument and monitor connector health and SLAs (crawl/index latency, error budgets, backoff/retry strategies); implement alerting and dashboards; drive root cause analysis and permanent fixes for ingestion issues. • Partner with Infosec, Legal, and People Team on data governance (permission-scoped indexing, privacy controls, redaction/exclusion lists, regulated data handling) and maintain audit-ready documentation and runbooks. • Improve search quality by collaborating on content normalization, metadata enrichment, and relevance tuning; champion usability feedback loops with stakeholders. • Lead change management for integration rollouts (test plans, canaries, staged deployments) and provide transparent customer-grade communications for incidents and maintenance. • Create clear, durable documentation (SOPs, architecture diagrams, data flow maps, runbooks) and knowledge transfer for IT and support teams. • Hands on experience implementing and operating Model Context Protocol (MCP) solutions, including building and maintaining MCP servers and integrating with MCPcompatible clients. • Proficiency with the MCP data model and lifecycle: tool/resource/prompt registration, capability discovery/negotiation, and JSONRPC 2.0 over stdio/websocket transport. • Ability to develop MCP servers in Python or Node.js using official SDKs, expose robust tool interfaces, resource templates, and structured outputs, and design for idempotency and safe retries. • Designing MCP tools that wrap enterprise SaaS APIs (e.g., Microsoft 365, Slack, Jira/Confluence, Salesforce, Freshservice, GitLab, Zoom, Gong), including pagination, ratelimit handling, and backoff strategies. • Strong authentication/authorization for MCP: service accounts, token management, scope minimization, pertool RBAC, multitenant isolation, and secure secret storage/rotation. • Permission mirroring and context propagation: mapping enterprise RBAC/leastprivilege to MCP tools/resources; enforcing caller identity and data access boundaries end-to-end. • Occasional travel for team onsites and planning sessions (typically <10%).