Minimum qualifications: Bachelor's degree or equivalent practical experience. 7 years of experience in driving organizational change across various workflows, services, and teams. 7 years of experience managing vendors/third-party partners in an operations/delivery role. 7 years of experience using analytics or applying project management tools to address business issues. Preferred qualifications: 5 years of experience working in outsourcing or related fields involving program and/or engagement management. 2 years of experience in GenAI, Large Language Models (LLM's), and Supervised Machine Learning. Experience with human in the loop data services for machine learning models. Proactive and ability to think multiple steps ahead and anticipate what's needed. Excellent communication skills, both written and verbal. Adept at influencing executive-level cross-functional stakeholders and seamlessly resolving conflicts. About the job
At gTech's Users and Products team (gUP), our mission is to help users get the most out of Google. We represent Google's users and many of our partners globally, sharing insights with the larger Google organization to enable exceptional customer and product experiences.
gUP builds innovative solutions that take user experience and engagement with Google to the next level, supporting users across products, countries, cultures, incomes, and identities. We advocate for users through partnerships with product areas at Google (and some Alphabet businesses), supporting Google's consumer products ecosystem and enabling numerous launches for Google's consumer products each year.
The Machine Learning Data Operations (MLDO) team within gUP Operations is a newly created team that is responsible for delivering supervised machine learning and GenAI model tuning data operations for Google's products. Working with an ecosystem of global vendors, the MLDO team delivers high quality data services that power Google's products.
This role plays an important role in our vendor-based support operations. In this role, you will manage multiple vendors across the globe that support Google's ML/AI initiatives. You will recommend solutions that will help improve evolving workflows and prepare for scaling. In addition, you will be expected to manage a portfolio of vendors that contribute to the long-term operational strategy and support model, externalizing decisions, and operational excellence of business processes through continuous improvements. You will also help drive consistent and standard operating practices across all workflows to allow for scaling and repeatability.
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 $126,000-$187,000 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 (KPIs), SLAs, such as on-time delivery, quality, and cost. Address performance issues promptly and collaborate with vendors to implement corrective actions. Lead and deliver regular business reviews and execute a robust vendor governance plan in the form of 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 vertical and horizontal process improvements at scale. Identify and program manage strategic projects to solve for challenging business issues by working with stakeholders, managing communications, and overseeing milestones and timelines. Provide efficient and effective escalation management in line with the established policies and procedures.
