Full-Time

Technical Program Manager

Product Inspired Research

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

Mid, Senior

Mountain View, CA, USA

Category
Project Management
Engineering Management
Business & Strategy
Requirements
  • Extensive knowledge and expertise in program management, able to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change
  • Able to foster respect, inclusion, and collaboration when working with teams, and skilled in building relationships and fostering trust with a diverse group of people
  • Excellent communication skills, with the ability to distill complex ideas to their essence
  • Proactive about learning and acquiring knowledge to enhance your domain knowledge
  • Technical degree or equivalent working knowledge
  • Knowledge of, or curious to learn about AI/machine learning research
  • Solid understanding of machine learning fundamentals
Responsibilities
  • Manage the delivery of projects designed to achieve highly impactful applications of machine learning, keeping teams focused and productive
  • Work with your project team to organize and optimize work into clear goals and objectives
  • Track progress, maintain up-to-date information and relevant technical documentation, anticipate and propose solutions to issues and risks
  • Partner closely with your engineering team lead as a strategic thought partner
  • Facilitate conversations, meetings and opportunities for collaboration, both within Google DeepMind and across Alphabet product teams, to drive the best outcomes; create connections and relationships
  • Evaluate and improve processes, tools, templates and documentation for repeatability and sustainability
  • Learn new business and technical skills quickly, adapt to changing environments while providing day-to-day coordination and quality assurance for projects and tasks

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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