Vendor Manager, Machine Learning Data Operations, gUP Operations

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in operations, strategy, planning, and program management.
  
• 5 years of experience managing vendors or third-party partners in an operations or delivery role, and driving organizational change across various workflows, services, and teams.
  
• 5 years of experience with data analysis or financial management.
  

Preferred qualifications:

• 5 years of experience working in extended workforce or related fields.
  
• 2 years of experience in GenAI, Large Language Models (LLM’s), and Supervised Machine Learning or interest in building domain expertise.
  
• Experience influencing executive-level cross-functional stakeholders and seamlessly resolving conflicts.
  
• Experience navigating ambiguity, operating successfully in a fast-paced evolving space, communicating effectively, and proactively anticipating business needs.
  

About the job

In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).

This team within gUP Operations is responsible for delivering supervised machine learning and GenAI model tuning data operations. Working with an ecosystem of global vendors, the team delivers high quality AI/ML data services that enable AI features in Google’s products.

In this role, you will play an important role in our vendor-based support operations and will manage multiple vendors across the globe that support Google’s ML/AI initiatives. You will use your innovative thought process to recommend solutions that will help improve evolving workflows and prepare them for scaling. You will also be expected to manage a portfolio of vendors that contribute to the long-term operational strategy and support model, extended workforce decisions, and operational excellence of business processes through continuous improvements.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

The US base salary range for this full-time position is $99,000-$145,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Track vendor performance against key metrics and service level agreements. Address performance issues and collaborate with vendors to implement corrective actions.
  
• Lead and deliver business reviews and execute a robust vendor governance plan through weekly, monthly, and quarterly reviews. 
  
• Establish and nurture collaborative relationships with vendors to ensure open communication and proactive problem resolution.
  
• Partner with cross-functional teams to drive continuous process improvements at scale. Use AI and other technologies for continuous process improvement and reengineering, review vendor data, identify process improvement opportunities, and drive improvement of vendor performance.
  
• Identify and program manage strategic projects to solve for challenging business issues by working with stakeholders, managing communications, and overseeing milestones and timelines.