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Senior Product Manager, Model Hardening & Resilience
Senior Product Manager, Model Hardening & ResilienceGoogle DeepMind • Mountain View, CA, United States
Senior Product Manager, Model Hardening & Resilience

Senior Product Manager, Model Hardening & Resilience

Google DeepMind • Mountain View, CA, United States
25 days ago
Job type
  • Full-time
Job description

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

This is an opportunity to join DeepMind’s Gemini Model team where you will define and lead the product vision for model hardening & resilience. You will strategically own the roadmap for making the Gemini Model robust and secure against a rapidly evolving technological and threat landscape. This role is focused on post-training for security, the phase when the model is hardened against adversarial attacks, misuse, and vulnerabilities. You will be responsible for the product strategy that governs how we find, measure, and mitigate Security risks in the Gemini Model before it reaches users.

This role requires a leader comfortable driving innovation at the intersection of large-scale AI and frontier security challenges. You will be responsible for navigating the complex trade-offs between Security, utility, and model capabilities. By leveraging cutting-edge AI techniques for evaluation and fine‑tuning, you will contribute to the advancement of verifiably secure generative AI. This role offers the opportunity to make a profound impact by creating an AI model that is resilient by design. You will work with talented teams passionate about pushing the boundaries of AI Security.

Key Responsibilities

  • Define and champion a clear product vision, roadmap, and strategic plan for the Gemini Model's Security post‑training lifecycle. This includes automated vulnerability detection, adversarial evaluation, red teaming, and mitigation fine‑tuning.
  • Develop and prioritize product requirements by synthesizing inputs from Security research, threat modeling, red team exercises, large‑scale model evaluation metrics, and competitive threat analysis, proactively clarifying ambiguities in a rapidly evolving threat landscape.
  • Lead and influence cross‑functional teams (Engineering, Security Research, Safety, Policy, Legal, etc.) to design, implement, and launch innovative Security features and mitigations for the Gemini Model.
  • Own and drive the end‑to‑end Security validation and release lifecycle for the Gemini Model, establishing sign‑off criteria, communicating risk posture to leadership, and ensuring successful internal rollout of new Security‑hardened model versions.
  • Maintain deep technical expertise in advanced AI Security (including adversarial ML, prompt injection, data poisoning, and jailbreaking). Drive rapid evaluation and mitigation cycles, gathering vulnerability data to iteratively refine the Gemini Model's Security posture.
  • Lead product development in a highly ambiguous and rapidly evolving threat landscape, enabling swift strategic pivots and responsive decision‑making to address novel Security vectors and ensure continuous progress.

About You

In order to set you up for success as a Senior Product Manager at Google DeepMind, we look for the following skills and experience :

  • Bachelor's degree or equivalent practical experience.
  • 8+ years of experience in product management or related technical role.
  • 5 years of experience taking technical products from conception to launch.
  • Demonstrable, extensive technical knowledge and hands‑on product experience with advanced AI technologies (Large Language Models) and core Security domains (e.g., adversarial machine learning, application security, threat modeling).
  • Proven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI model Security, converting performance insights into impactful product mitigations.
  • Demonstrated ability to independently drive complex product initiatives forward in ambiguous and rapidly evolving AI and Security contexts, proactively clarifying uncertainties and adapting strategies decisively.
  • Experience working cross‑functionally with engineering, Security research, policy, legal and other stakeholders to deliver successful products.
  • Proven ability to prepare and deliver compelling technical presentations to senior leadership, effectively communicating product vision and strategy.
  • In addition, the following would be an advantage

  • Strong aptitude for deeply understanding adversarial perspectives, proactively identifying novel attack vectors, and translating Security insights into concrete model requirements.
  • Hands‑on experience in software development or engineering, with a strong understanding of technical concepts and the ability to collaborate with development teams.
  • Demonstrated success in being a self‑starter, and fostering a culture of innovation and driving exceptional results.
  • Hands‑on experience in Security engineering, penetration testing, or Security research, with a strong understanding of technical Security concepts and the ability to collaborate with red teams.
  • The US base salary range for this full‑time position is between $183,000 - $271,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

    Note : In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

    At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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