Full-Time

Technical Program Manager

Generative Video, US Month FTC

Posted on 10/4/2025

DeepMind

DeepMind

1-10 employees

AI research organization pursuing safe AGI

Compensation Overview

$156k - $229k/yr

Mountain View, CA, USA

In Person

Category
Business & Strategy (1)
Requirements
  • You are passionate about the intersection of AI and Creative Media Technologies, and proactive about learning and acquiring knowledge to enhance your domain knowledge.
  • You thrive in collaborative environments, bridging the gap between engineers and stakeholders, ensuring everyone is working towards a shared vision.
  • Knowledge and expertise in project/program management with the skill to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change.
  • Strong communication skills, ability to develop meaningful relationships with key stakeholders and leverage these to influence action and outcomes, ensuring alignment between technical teams and business stakeholders.
  • You're a natural problem-solver, readily identifying the root causes of technical challenges to implement elegant solutions.
  • Possess knowledge and familiarity with technical concepts such as information theory, mathematics, technical architectures, statistics, computer science, machine learning or reinforcement learning.
Responsibilities
  • Program Leadership & Strategy: Lead complex and ambiguous programs focusing on execution and delivery. Partner with research and engineering leads to translate strategic goals into well-defined program plans, timelines, and success metrics.
  • Large-Scale Execution: Drive the end-to-end execution of large-scale initiatives, including deployment planning & coordination, infrastructure readiness, safety testing, and model evaluation processes.
  • Cross-Functional Integration: Act as a key liaison between the Generative Media team and other critical Google DeepMind projects, including teams working on Gemini, AI Platform, Trust & Safety, Marketing & Communications, Legal and more. Ensure seamless integration and alignment.
  • Risk & Dependency Management: Proactively identify, assess, and mitigate risks and dependencies associated with large-scale model deployment and launches.
  • Process Improvement & Scalability: Develop and implement efficient processes and systems to manage deployment and launches at scale. Identify opportunities for automation and tooling to improve research and engineering velocity.
  • Stakeholder Management: Build strong relationships and provide clear, consistent communication to stakeholders across research, engineering, and leadership.
  • Technical Due Diligence:Perform technical due diligence to understand engineering scope, define milestones, and anticipate resource needs for ambitious research projects
  • Team Support: Provide proactive support to the team, and act as a mentor and point of escalation. Support rapid team and project growth and build processes to handle increasing numbers of contributors and project sub areas.
Desired Qualifications
  • BS degree in Computer Science, Engineering, Media Tech or related technical field.
  • 6+ years of experience in program management.
  • Knowledge of Software Development Lifecycles
  • Experience with end-to-end delivery while partnering closely with Research team
  • Product Management experience (direct or partnering closely).
  • Industry experience in creative media or media technology.

DeepMind conducts research in artificial intelligence to advance general problem-solving capabilities with safety and ethics guiding every project. It develops AI systems and learning algorithms that can tackle complex tasks, such as diagnosing eye diseases, reducing data center energy use, and predicting 3D protein shapes. These products work by learning from large datasets and optimizing models to perform specialized tasks, often through deep neural networks and reinforcement learning, then deploying the resulting systems to assist scientists, doctors, and engineers. What sets DeepMind apart is its emphasis on rigorous fundamental research published in top journals, a strong safety/ethical framework, and collaboration on real-world scientific challenges, rather than just commercial applications. The company’s long-term goal is to solve intelligence and build more general, capable problem-solving systems that can help society address major scientific and humanitarian problems.

Company Size

1-10

Company Stage

Acquired

Total Funding

$533M

Headquarters

Thessaloníki, Greece

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • GraphCast excels in extreme weather prediction, partnering with disaster agencies.
  • AlphaFold collaborates with DNDi on Chagas and Leishmaniasis therapeutics.
  • Open GraphCast deployment since September 2024 enables enterprise licensing.

What critics are saying

  • Top AI talent exits DeepMind due to Google merger bureaucracy.
  • Isomorphic Labs secures Eli Lilly and Novartis drug discovery deals.
  • NVIDIA's PhysicsNeMo reimplements GraphCast, commoditizing the technology.

What makes DeepMind unique

  • AlphaFold predicts protein structures, catalyzing biology progress since 2021.
  • GraphCast delivers 90% accurate 10-day weather forecasts in under one minute.
  • AlphaGo defeated Go champion Lee Sedol in 2016 using reinforcement learning.

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