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Alphabet · Bengaluru, Karnataka, India

Technical Program Manager, Trust and Safety Workspace Smart Review

Bengaluru, Karnataka, IndiaManager or lead

Listed on Alphabet’s official careers site. Listed as of October 30, 2026. Check that it is still open and apply there.

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Job description

Minimum qualifications

Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management.

Preferred qualifications

Bachelor's degree in a quantitative field, e.g., Computer Science, Engineering, or equivalent practical experience. Experience managing the full SDLC cycle and ML pipeline management while working with technical teams, with 8 years of experience as a technical program manager. Experience working in a fast-paced , constantly evolving environment and strong communication skills with high attention to detail. Advanced knowledge of AI solutions and demonstrated capability in embedding generative AI solutions and LLM capabilities into operational workflows.

Outstanding influencing and executive communication skills, and ability to build strong relationships with cross-functional partners. About the job A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish.

You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The SmartReview team is at the forefront of protecting Google's billions of Workspace users.

We play a pivotal role in developing, monitoring and upgrading the processes and human-in-the-loop flows to generate high quality data sets used to build Machine Learning models.

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