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AI Job Summary

Manage feature planning, prioritization, and operations for generative modeling and applied research initiatives within Ads, partnering with advanced research teams to transition applied research into production. Handle day-to-day resource allocation, risks, and priorities while interfacing across product, engineering, and research teams. Requires a bachelor's degree in a technical field, eight years of program management experience, and demonstrated expertise in AI/ML and large language model training.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Be responsible for the development and execution of feature planning, prioritization, and operations for generative modeling and applied research initiatives.
  • Partner closely with advanced research teams (e.g., DeepMind) to transition applied research into production and solve SAGE's hardest technical challenges.
  • Establish the necessary programs and one-off projects for the team to plan and execute in order for the generative modeling product area to be successful.
  • Manage day-to-day resource requirements (including ML compute/TPU capacity), risks, and priorities.
  • Interface with other product, engineering, and research teams within Ads to develop actionable execution plans.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • Experience with AI/ML.
  • Experience in large language model training.

Preferred qualifications:

  • 8 years of experience managing cross-functional or cross-team projects.
  • Experience in Ads platforms.
  • Experience with the software development lifecycle, integration testing, and ML pipeline management.
  • Demonstrated experience in technical project management, addressing and solving complex problems in machine learning, generative modeling, or applied research.
  • Firm sense of accountability and ownership for the end-to-end project lifecycle, with the ability to translate complex research concepts into actionable engineering plans.
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • Experience with AI/ML.
  • Experience in large language model training.
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  • Role Senior Technical Program Manager III, AI/ML, Google Ads
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

216K – 285K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 110 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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