Scaled Operations Manager

Who you are

You have a Bachelor's degree in Computer Science or a related technical field, along with 7 years of experience in operations management or program management. Your expertise includes knowledge of the data labeling industry, best practices, challenges, and quality assurance techniques. You are familiar with AI/ML development life-cycles and understand the critical role of human-annotated data in these processes. You excel in leading multidisciplinary teams and have a proven track record of managing complex projects across various stakeholders and time zones.

Your experience has equipped you with strong skills in data analysis, allowing you to monitor performance, identify trends, and drive operational improvements. You are adept at developing and maintaining documentation, best practices, and playbooks for operations, ensuring that your team operates efficiently and effectively. You thrive in collaborative environments and are comfortable partnering with cross-functional teams, including engineering, product management, and technical writers, to enhance tooling and support for operations programs.

Desirable

You have additional experience in program management, which complements your operations management background. Your familiarity with AI/ML technologies and their applications in real-world scenarios sets you apart. You are proactive in identifying and resolving bottlenecks and risks, ensuring that projects stay on track and meet their objectives.

What you'll do

As a Senior Operations Manager at Google, you will lead multidisciplinary AI/ML programs within AI Data operations, strengthening cross-Google accountability and execution. You will plan requirements with internal customers and manage projects through their entire life-cycle, coordinating stakeholders across offices, time zones, and hemispheres. Your role will involve managing schedules, operations, and risks to ensure alignment on progress and deadlines.

You will drive program outcomes for a portfolio of programs, focusing on efficiency, quality, and scalability. Your responsibilities will include designing, launching, standardizing, and continuously optimizing end-to-end operational processes for various workflows. You will utilize data analysis to monitor performance and identify trends, driving operational improvements that enhance the overall effectiveness of the team.

In this role, you will develop and implement strategies to proactively identify and resolve bottlenecks and risks, ensuring that your team can operate at peak performance. You will also be responsible for developing and maintaining documentation, best practices, and playbooks for operations, which will serve as a valuable resource for your team and other stakeholders.

What we offer

At Google, you will be part of a culture that values innovation and collaboration. You will have the opportunity to work with cutting-edge technology and tools that help organizations digitally transform their businesses. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will be part of a team that is dedicated to making a significant impact in the AI/ML space, driving efficiencies and improvements that benefit our customers worldwide.