Technical Program Manager, Machine Learning, Google Cloud

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.
  • #83246539710833350

    Position summary

    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.

    In this role, you will play a key role in accelerating from research to production. You will partner with product managers, engineers, and leadership to define road maps, prioritize features, and ensure timely releases.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

    Responsibilities

    • Develop and manage the overall program plan for LLM development and deployment,including requirements gathering,risk assessment,and resource allocation.

    • Work closely with researchers, engineers, and other stakeholders to define and prioritize LLM features and capabilities across various workstreams (e.g., infra, data, model, eval, and deployment).

    • Track and manage the progress of LLM development and deployment,identifying and mitigating risks,and ensuring that projects are completed on time and within budget.

    • Communicate effectively with stakeholders at all levels to keep them informed of the program's progress and to obtain their buy-in on key decisions.

    • Facilitate collaboration and coordination between the different teams involved in the LLM development and deployment process.

    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.