Full-Time

Technical Program Manager

Post-Training

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

$168k - $266kAnnually

+ Bonus + Benefits

Senior

Mountain View, CA, USA

Category
Project Management
Engineering Management
Business & Strategy
Requirements
  • BS degree in Computer Science, Engineering, or related technical field
  • 8+ years of leading large-scale engineering projects, preferably across multiple geographies and time zones.
  • Demonstrated success in product launch and/or go-to-market execution.
  • Strong understanding of ML/AI principles and their distinctions from traditional software development.
  • Experience managing multilingual project requirements and deliveries.
Responsibilities
  • Scope and drive complex and ambitious programs cutting across multiple teams, manage simultaneous projects balancing between short-term deliveries and setting programs up for long-term success.
  • Navigate through ambiguity for complex, rapidly changing projects; adjust and adapt plans and strategies as project conditions change.
  • Bring together diverse teams and members for fast-paced deliveries.
  • Be the trusted owner of the status of your projects. Clearly identify dependencies/risks/issues, and drive progress and visibility.
  • Build strong relationships with key stakeholders and influence action and outcomes without direct authority, ensuring alignment among the stakeholders.
  • Have the ability to rapidly grasp technical concepts, contribute to relevant discussions, and translate them into actionable program strategies.
  • Be highly organized, self-motivated, and drive process improvements and efficiencies, streamlining processes, simplify execution, and bring tooling efficiencies if applicable.
  • Have excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to various audiences and levels including executive management.

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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