About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

In this role, you will act as a advisor to Google Cloud leadership, supporting the implementation of the Vendor Management Office (VMO) roadmap. You will have knowledge in transformation consulting, alongside core engineering services and the AI Data operations sector, including reinforcement learning from human feedback (RLHF) and human-in-the-loop (HiTL).

You will be tasked with managing vendor strategy and procurement for AI and Cloud Engineering, and will create efficient, scalable operating structures while overseeing compliance and operational safety. By fostering an AI-First approach, you will adapt to technological shifts and cultivate performance-driven relationships with global Strategy, AI, and Engineering teams. You will also be involved in designing transformative sourcing initiatives, establishing governance framework, and ensuring rigorous agreement adherence in specialized domains like safety red-teaming.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Use market research to benchmark costs and streamline agreement lifecycles, enhancing overall operational efficiency. Create detailed service requirements and summary reports.

• Design custom solutions covering location and commercial terms to maximize value and adhere to industry best practices.

• Lead Cloud vendor strategy including sourcing and contracting. Embed AI as a core component of solutions.

• Develop scalable, cost-optimal operating models. Manage the overall relationship and drive influence with the business teams.

• Manage or work within AI data operations workflows, including human-in-the-loop (HiTL), model evaluations (RLHF/supervised fine-tuning (SFT), and red-teaming/safety annotation. Execute vendor strategy and contracting specifically for Cloud Engineering and AI Solutions requirements.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in a technical project management or a customer-facing role.

• 8 years of experience in transformation and consulting within engineering services and AI data workflows.

• 5 years of experience leading vendor strategy and operations for software development projects, at a technology company.

• Experience in vendor managment/operations.

Preferred qualifications

• Experience in translating AI advancements and intelligent automation capabilities into engineering vendor solutions and commercial models (e.g., PPU, managed services).

• Understanding of the engineering services and AI landscape, and with AI data operations workflows, including Human-in-the-Loop (HiTL), RLHF, and red-teaming.

• Ability to build relationships with clients and act as a trusted advisor and partner.

• Ability to communicate and collaborate cross-functionally and at the executive level.

• Excellent organizational and project management skills.