Full-Time

Technical Program Manager

Gemini Data Governance

Confirmed live in the last 24 hours

DeepMind

DeepMind

1,001-5,000 employees

Develops artificial general intelligence systems

AI & Machine Learning
Biotechnology
Education

Compensation Overview

$142k - $219kAnnually

+ Bonus + Equity

Senior

Mountain View, CA, USA

Category
Project Management
Engineering Management
Business & Strategy
Requirements
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • Working understanding of ML concepts and terminology.
  • Significant experience in creating scalable and repeatable processes involving multiple stakeholder groups.
  • Experience in compliance and the regulatory space is a must.
  • Experience in team operations/software development.
  • Experience managing diverse group of stakeholders & leading scaled communications.
  • Strong attention to detail & organizational skills.
  • Experience with high-visibility projects involving multiple Directors/VP-level stakeholders.
Responsibilities
  • Architect and implement a robust, end-to-end compliance and risk management program tailored to Google DeepMind’s specific needs and regulatory environment.
  • Develop a set of clear, quantifiable metrics and key performance indicators (KPIs) to objectively measure and track the program's effectiveness and identify areas for improvement.
  • Prepare and deliver regular reports to senior management, providing actionable insights into the program's overall status, emerging risks, compliance performance, and recommended next steps.
  • Partner closely with cross-functional teams (AI Platforms, Infrastructure, Data Research and Security orgs) to embed compliance and risk management principles directly into core business processes, ensuring proactive risk mitigation.
  • Bring foresight of future regulatory developments to inform the strategy of what the data compliance team should be focusing on, so that we can stay ahead of the regulatory landscape.

This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.

Company Stage

Acquired

Total Funding

$4.9M

Headquarters

London, United Kingdom

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • DeepMind's advancements in AI-driven drug discovery, such as collaborations with Lilly and Novartis, promise significant contributions to healthcare and pharmaceuticals.
  • The introduction of AlphaCode 2 and other AI models showcases DeepMind's continuous innovation and leadership in competitive programming and AI research.
  • DeepMind's AI tools for music creation and weather forecasting demonstrate the company's versatility and potential to revolutionize multiple industries.

What critics are saying

  • The backlash against Google's Gemini AI model could impact DeepMind's reputation and trustworthiness in the AI community.
  • The competitive landscape in AI is intense, with rapid advancements from other tech giants potentially overshadowing DeepMind's innovations.

What makes DeepMind unique

  • DeepMind's pioneering work in AI, such as the development of AlphaFold and AlphaCode, sets it apart as a leader in both scientific research and practical AI applications.
  • The company's integration with Google's vast resources and data infrastructure provides a significant competitive advantage over standalone AI firms.
  • DeepMind's focus on ethical AI and its collaborations with industry leaders like Lilly and Novartis highlight its commitment to impactful and responsible AI innovation.

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