Program Manager, Machine Learning Data and Vendor Operations

Google

3.8

(162)

London, United Kingdom

Why you should apply for a job to Google:

  • 56% say women are treated fairly and equally to men
  • 77% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Generous parental and caregiver leave along with fertility and growing family support.
  • Flexible work options that include a hybrid work model, four “work from anywhere” weeks, and remote work opportunities.
  • A chance to be a part of a variety of employee resource groups, community groups, and culture clubs.
  • #124132926051754694

    Position summary

    ether 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.

    Our goal is to build a Google that looks like the world around us - and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

    Responsibilities

    • Understand various Google products, tools and processes, and leverage them to push machine learning based automation and increase operational efficiencies.
    • Deliver critical pieces of analysis and use these to drive new insights and uncover improvement opportunities, identify and implement measurable and scalable solutions for machine learning projects.
    • Contribute to global company-wide planning processes that include budgeting, project prioritization, headcount planning, forecast management, and variance analysis.
    • Support teams in fast-paced environments to drive program delivery from concept to completion, leading through multiple evolution along the way. Prioritize, adapt to change, and provide flexible thought partnership in a rapidly evolving landscape.
    • Understand, develop, and collaborate with engineering and cross-product groups to find solutions to optimize and scale human computation micro-tasks on machine learning and imagery curation/moderation pipelines.

    Why you should apply for a job to Google:

  • 56% say women are treated fairly and equally to men
  • 77% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Generous parental and caregiver leave along with fertility and growing family support.
  • Flexible work options that include a hybrid work model, four “work from anywhere” weeks, and remote work opportunities.
  • A chance to be a part of a variety of employee resource groups, community groups, and culture clubs.