Job Description

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The Company

Everflow is a SaaS Partner Marketing platform for managing and scaling revenue from affiliates, partnerships, and marketing channels. Founded in 2016 by industry veterans, we are based in Oakland, Montreal and Amsterdam with a distributed team across the NAM and EMEA regions.



We're a bootstrapped company (over $30M ARR) that has grown through supporting happy customers that refer business to us and create word-of-mouth excitement. We're the go-to platform for brands, agencies, and networks, with 1,000+ customers including Mutual of Omaha, ClassPass, and Tapjoy.

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About the role

Everflow is seeking an

AI Platform Manager

to own the deployment, configuration, and governance of our cutting-edge

Gemini Enterprise instance

on Google Cloud Platform (GCP). This is a strategic enablement role that serves as the internal subject matter expert (SME) for the platform, ensuring it is secure, compliant, and accessible for our internal teams.


You will focus on the what and the how of platform operations--managing access, controlling costs, defining internal usage policies, and translating user needs into clear technical requirements for our dedicated Engineering team.

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What you'll do

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Platform Ownership & Administration

Setup & Configuration:

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.

Security & Governance:

Manage user access and permissions (IAM), enforce data security and residency policies, and ensure the platform adheres to all internal security and compliance standards.

Usage & Cost Management:

Monitor platform utilization, track usage against organizational budgets, and define strategies to optimize compute and API costs.

Troubleshooting:

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.
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Internal Consulting & Requirements Gathering

Stakeholder Partnership:

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.

Connector Definition:

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.

Internal Enablement:

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.
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GCP Liaison & Vendor Management

Roadmap Advocacy:

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.

Support Management:

Manage the relationship with GCP support for all platform-level issues and feature requests, ensuring timely resolution and communication back to internal stakeholders.
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Qualifications

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Required Qualifications

Experience:

3+ years of experience in a Technical Administrator, Cloud Operations, or Platform Management role, ideally focused on enterprise SaaS or cloud-native applications.

Cloud Proficiency:

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.

Platform Administration:

Proven ability to manage a complex enterprise software platform, including configuration, security settings, and usage controls.

Communication & Analysis:

Excellent communication skills with demonstrated ability to translate vague business needs into precise, technical requirements for engineering teams.

Technology Fluency:

A solid conceptual understanding of Large Language Models (LLMs), prompt engineering principles, and the role of data connectors/APIs in building AI agents.
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Preferred Qualifications

Direct administrative experience with Gemini Enterprise, Vertex AI, or another LLM-as-a-Service offering. Experience with ticketing systems and bug reporting for a major cloud vendor. Familiarity with data governance and security practices in a regulated environment.
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Compensation Package:

Base Salary: $85,000 - $95,000 CAD

Bonus Potential

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Perks include:

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 A very collaborative team and culture Education, gym, and equipment stipend
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Join Our Exceptional Team

Dive into a role where respect, ownership, and mindfulness define our culture. As a valued team member, you'll enjoy the freedom to innovate and excel, supported by the tools and equipment you need to succeed.

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Balance, Growth, and Connection

Work/Life Harmony:

Embrace unlimited PTO and a healthy balance that respects your life outside work.

Continuous Growth:

Regular feedback and discussions about your career path keep you moving forward.

Inclusive Community:

Be part of a welcoming, engaging workplace that celebrates diversity and fun.

We offer a dynamic environment where excellence is rewarded, your well-being is a priority, and every day brings a chance to make meaningful connections. Ready for a truly rewarding challenge? We're excited to meet you.

The pay range for this role is:

85,000 - 95,000 CAD per year(Hybrid (Montreal, Quebec, CA))

85,000 - 95,000 CAD per year(Hybrid (Toronto, Ontario, CA))