Full-Time

Technical Program Manager

AI Safety Launch

Posted on 9/23/2025

DeepMind

DeepMind

1-10 employees

AI research organization pursuing safe AGI

Compensation Overview

$183k - $271k/yr

+ Bonus + Equity + Benefits

Mountain View, CA, USA

In Person

Category
Business & Strategy (1)
Required Skills
Machine Learning
Requirements
  • 5+ years of leading large-scale product launches, preferably across multiple geographies and time zones.
  • Possess excellent communication skills to articulate complex technical concepts clearly to diverse audiences, including executive leadership.
  • Demonstrated success in fast-paced program execution and deliveries.
  • Good understanding of safety, factuality, instruction following and other alignment related topics in machine learning.
  • Must be fluent in English.
Responsibilities
  • Lead the safe and compliant deployment of GenAI products, rapidly adjusting launch plans to ensure all evaluations and requirements are met.
  • Partner closely with Product, Engineering and Google Trust & Safety Teams to manage and organise GenAI Launches.
  • Serve as the trusted program owner, clearly identifying dependencies, risks, and issues, and driving visibility and progress across all stakeholders for GenAI launches.
  • Build consensus and influence outcomes across diverse teams and key stakeholders, ensuring strong alignment without relying on direct authority.
  • Quickly grasp complex technical concepts and translate them into actionable program strategies.
  • Drive organizational efficiency by improving processes, streamlining execution, and implementing tooling improvements where applicable.
  • Navigate through ambiguity for complex, rapidly changing projects; adjust and adapt plans and strategies as project conditions change.
Desired Qualifications
  • Degree in Computer Science, Engineering, or related technical field
  • Strong understanding of ML/AI principles and their distinctions from traditional software development.

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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Benefits

Performance Bonus

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