Manage annual listings spanning traditional SaaS, APIs, VMs, Kubernetes, datasets, and new AI components (plugins, skills, connectors). Own end-to-end technical integrations (procurement, metering, IAM, packaging) to minimize time-to-publish. Establish enterprise standards for security, reliability, and metering across all solutions and AI components, scaling review and certification mechanisms. Deploy AI-driven workflows for automated reviews, integration testing, support triage, and onboarding guidance while optimizing operational metrics.
Analyze Marketplace telemetry and consumption datasets to optimize incentive allocations and investments for high-impact solutions. Guide engineering leaders on architecture and enterprise
Job description provided by Google.
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