Manage AI Platform operations and governance on Google Cloud Platform for Everflow's Gemini Enterprise. Act as the internal subject matter expert and ensure security, compliance, and optimal usage across platforms.
Responsibilities
Lead the initial setup, environment configuration (e.g., development, staging, production), and ongoing administrative management of the Gemini Enterprise platform within Everflow's GCP environment.
Manage user access and permissions (IAM), enforce data security and residency policies, and ensure the platform adheres to all internal security and compliance standards.
Monitor platform utilization, track usage against organizational budgets, and define strategies to optimize compute and API costs.
Serve as the first line of defense for platform-level issues, quickly diagnosing configuration problems and escalating product-specific bugs to the GCP support team.
Act as the liaison between the Gemini platform and internal teams (Product, Customer Success, HR, etc.) to identify and document high-value use cases for generative AI.
Define the necessary data connectors, external API integrations, and internal data sources required to empower successful AI agents (RAG architecture), translating these needs into precise specifications for the Engineering team.
Develop and maintain clear internal documentation, run training sessions, and serve as the go-to expert to promote effective and responsible use of the Gemini platform across the organization.
Maintain a close relationship with the Google Cloud Platform (GCP) account team, staying ahead of the Gemini Enterprise roadmap and articulating Everflow’s feature requests and long-term needs.
Manage the relationship with GCP support for all platform-level issues and feature requests, ensuring timely resolution and communication back to internal stakeholders.
Requirements
3+ years of experience in a Technical Administrator, Cloud Operations, or Platform Management role, ideally focused on enterprise SaaS or cloud-native applications.
Strong hands-on experience with Google Cloud Platform (GCP) administration, specifically configuring services, managing IAM, and understanding the core concepts of the Vertex AI ecosystem.
Proven ability to manage a complex enterprise software platform, including configuration, security settings, and usage controls.
Excellent communication skills with demonstrated ability to translate vague business needs into precise, technical requirements for engineering teams.
A solid conceptual understanding of Large Language Models (LLMs), prompt engineering principles, and the role of data connectors/APIs in building AI agents.
Benefits
Employer Covered Medical
Unlimited PTO and paid holidays
Paid parental leave for putting your family first
Startup-like environment, without the constant rush to raise the next round of funding
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