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Salary
≈ $193k – $354k per year (Estimated)
Location
In office (Mountain View)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 9, 2026. Google scores B on the Alion truth index.

Overview
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Impact
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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

Google’s Search Intelligence (SI) team is seeking a strategic Technical Program Manager (TPM) Portfolio Lead to advocate trust, safety, and neutrality for our core Search and AI experiences. In this highly collaborative role, you will act as a thought partner and strategic program lead, setting ambitious, measurable goals and driving the execution of critical initiatives. Leveraging advanced AI tools and agentic solutions, you will automate processes and accelerate engineering velocity, transforming how we protect billions of daily user queries.

As the Portfolio Lead, you will oversee the Search Intelligence Trust portfolio, collaborating with a global team of TPMs across Zurich, Cambridge, and Mountain View, and partnering with an engineering organization of approximately 150 members alongside multiple Product Managers. Your responsibilities will span four key pillars: aligning trust requirements for frontier AI innovations, building scaled compliance protections in partnership with DeepMind, scaling operations for rapid and neutral feature rollouts, and managing critical escalations with long-term preventative strategies.

Additionally, you will identify opportunities to implement system-wide changes in collaboration with Search Platforms, Verticals, Core, and Trust and Safety. By transforming our horizontal capabilities, you will enable Google to launch Generative AI features with ten times the velocity and volume, securely protecting users while scaling product delivery. If you are a critical thinker and natural connector who thrives in a fast-paced environment and is passionate about shaping the future of trusted information journeys, we invite you to help us deliver user experiences.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Lead Search-wide trust initiatives by setting ambitious, measurable goals and navigating ambiguity to deliver secure user experiences.
  • Oversee and align the scope of several specialized TPMs driving key Trust priorities to ensure cohesive execution.
  • Partner cross-functionally with DeepMind, Platforms, and Verticals to scale compliance and Generative AI protections.
  • Operationalize critical program execution while dynamically pivoting priorities to support rapid product velocity.
  • Manage high-stakes escalations and incidents, implementing robust, long-term preventative systems and operational workflows.

Qualifications

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • Experience managing technical programs in trust, safety, or security domains.
  • Experience in horizontal portfolio management, including governing multiple program pillars.

Preferred qualifications:

  • 8 years of experience managing cross-functional or cross-team projects.
  • Experience with advanced stakeholder management especially quality and AI engineers.
  • In depth quality experience (e.g., evaluations, prompting, AI stack) and has a deep understanding of GenAI modeling space.
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