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Salary
≈ $165k – $299k per year (Estimated)
Location
In office (San Jose)
Seniority
Staff · 5+ years exp

Confirmed on the employer's own hiring board on Oct 2, 2026. First seen by Alion on Sep 7, 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 Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

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

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Lead high-profile, cross-functional Privacy, Safety, and Security (PSS) programs, defining scope, roadmaps, phased milestones, and operational governance from 0-to-1 incubation through to long-term handover.
  • Identify program bottlenecks, cross-product area dependencies, and emerging risks across the product lifecycle, executing rapid interventions and robust mitigation playbooks.
  • Establish intake pipelines, tracking dashboards, and key performance metrics (goal mapping, delivery rates, resource allocation) to maintain data-driven visibility into overall program health.
  • Translate complex PSS mandates and AI security frameworks into actionable, low-friction technical roadmaps, playbooks, and engineering deliverables.
  • Drive consensus across Software Engineer, Product Manager, UX, and Legal teams while maintaining structured communication cadences (Quarterly Business Reviews (QBRs), executive briefs) to align executive leadership and resolve escalations.

Qualifications

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience creating technical roadmaps and engineering deliverables.
  • Experience in communicating with executive and technical audiences.

Preferred qualifications:

  • Master's degree, MBA, or advanced technical degree.
  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience in customer success, product adoption, technical enablement, or GTM strategy for developer tools or enterprise platforms.
  • Experience designing scalable processes, self-service tooling, or leveraging AI agents and workflows to dramatically increase team velocity and efficiency
  • Familiarity with privacy, safety, cybersecurity, AI safety frameworks (e.g., Secure AI Framework, prompt injection, red teaming), or identity/authentication systems.
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