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Technical Program Manager III, AI/ML, Search

Google
Posted 17 hours ago, valid for 12 days
Location

Mountain View, CA, US

Salary

$163,000 - $236,000 per year

Contract type

Full Time

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Sonic Summary

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  • The position is for a Technical Program Manager at Google, requiring a Bachelor's degree in a technical field and a minimum of 5 years of program management experience.
  • Candidates should have experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows, as well as expertise in quality engineering and data analytics.
  • The role involves leading complex, cross-functional projects, managing program lifecycles, and collaborating with global engineering teams to enhance Google's AI capabilities.
  • The salary range for this position is between $163,000 and $236,000 USD, plus a 15% bonus target, equity, and benefits.
  • Preferred qualifications include an additional 5 years of experience managing cross-functional projects and a strong understanding of AI/ML products.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
  • Experience in quality engineering.
  • Experience in data analytics.

Preferred qualifications:

  • 5 years of experience managing cross-functional or cross-team projects.
  • Strong understanding of the evolving landscape of AI/ML products.

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.

As a Technical Program Manager on Search Ecosystem, you will be responsible for driving the end-to-end engineering execution of this data product with the goal of turning data into a transparent, actionable layer of intelligence. You will play a pivotal role in leading and scaling this strategically important and innovative new project. You will manage the program's lifecycle, navigate ambiguity, and exercise independent judgment to ensure we meet ambitious goals.

This role involves close collaboration with a distributed engineering team globally and requires a strong ability to influence and align cross-functional stakeholders across various organizations. You will be instrumental in launching and iterating on a zero-to-one product with significant impact on Google's AI capabilities and end user experiences.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

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:

  • Partner extensively with Product, Engineering and Partnerships teams define program strategy, scope, roadmaps, and success metrics.
  • Lead, manage, and drive the execution of complex, cross-functional work streams, ensuring timely delivery of program milestones and objectives.
  • Drive program-level decision-making, unblock technical and operational challenges, and proactively manage risks and dependencies across multiple teams and organizations.
  • Communicate program status, risks, strategies, and impact effectively to a wide range of audiences, from technical teams to executive leadership.
  • Identify and implement process improvements to enhance program efficiency and effectiveness.



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