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Salary
≈ $32k – $63k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 22, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

We are on a mission to build a scalable, auditable, and reliable process to ensure the quality of our content moderation and labelling operations.

Frequent/direct exposure: This role will be exposed to graphic, controversial, or upsetting content.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Responsibilities

  • Establish required program structures/projects, manage cross-functional launch timelines and measure progress of the annual OKRs.
  • Partner closely with engineering, product, data science, and Trust and Safety (T&S) central teams to implement Applied AI solutions to address.
  • Establish/improve/automate Smartreview processes such as Intake, Triage, backlog processes and run program sprints.
  • Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations.
  • Communicate program status, risks, and milestones clearly to cross-functional and executive leadership. Develop and launch project management best practices and measure adoption across the team.

Qualifications

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.
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