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Director of Product Management, Generative AI Privacy & Security

DeepMind is seeking an experienced Product Manager to join the GDM Privacy & Security team focusing on privacy and security in Generative AI.

Skills

  • Product management
  • Stakeholder engagement
  • Privacy and security knowledge
  • User research methodologies

Responsibilities

  • Drive the development of product requirements for privacy and security technologies.
  • Plan, prioritize, and develop privacy-preserving technologies.
  • Manage a research and product roadmap for GDM Privacy & Security.
  • Collaborate with product managers for user feedback and prototype validation.
  • Translate prototyping learnings into actionable recommendations.

Benefits

    To read the complete job description, please click on the ‘Apply’ button
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    Average salary estimate

    $316000 / YEARLY (est.)
    min
    max
    $253000K
    $379000K

    If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

    What You Should Know About Director of Product Management, Generative AI Privacy & Security , DeepMind

    Are you ready to take on a pivotal leadership role as the Director of Product Management for Generative AI Privacy & Security at DeepMind in the vibrant tech hub of San Francisco? In this exciting position, you will be at the forefront of developing innovative product strategies that ensure privacy and security are seamlessly integrated into advanced AI technologies. DeepMind is not just about pushing the AI envelope; we are committed to doing so responsibly for the betterment of humanity. As part of the Gemini team, you will harness cutting-edge research to tackle vital privacy challenges as you architect solutions like private synthetic data and differential privacy. Collaborating with cross-functional teams from engineering to policy, you'll steer product requirements and roadmaps that foster close alignment with both our internal and external stakeholders. Your 10+ years of experience in product management will shine as you influence AI standards at a strategic level and elevate GDM's commitment to ethical AI deployment. Bring your passion for privacy and security, and join us in shaping a future where AI not only innovates but does so with the utmost integrity. Nestled within a diverse culture, the opportunity awaits you to leave an irreplaceable mark on the world of technology and beyond. So, if you're looking for a career that merges visionary thinking with practical execution, look no further than DeepMind's Director of Product Management for Generative AI Privacy & Security. Let's create a safer AI experience together!

    Frequently Asked Questions (FAQs) for Director of Product Management, Generative AI Privacy & Security Role at DeepMind
    What are the responsibilities of the Director of Product Management, Generative AI Privacy & Security at DeepMind?

    The Director of Product Management for Generative AI Privacy & Security at DeepMind is responsible for leading the development of innovative product strategies focused on privacy and security in AI technologies. This role involves planning, prioritizing, and driving the development of privacy-preserving technologies, contributing to research roadmaps, collaborating with product managers, and influencing the company's direction on AI privacy standards.

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    What qualifications are needed for the Director of Product Management, Generative AI Privacy & Security position at DeepMind?

    Candidates for the Director of Product Management position at DeepMind should have at least 10 years of product management experience and a minimum of 5 years managing technical products from concept to launch. Additionally, a strong understanding of privacy and security systems, stakeholder engagement experience at the VP level, and familiarity with AI technologies is crucial for success in this role.

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    Is there a specific salary range for the Director of Product Management role at DeepMind?

    The U.S. base salary for the Director of Product Management, Generative AI Privacy & Security role at DeepMind ranges between $253,000 and $379,000, complemented by bonuses, equity, and benefits. The specific salary may vary depending on the candidate's location and expertise, and this information can be discussed with the recruiter during the hiring process.

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    What experience in AI privacy and security is preferred for the Director of Product Management role at DeepMind?

    Candidates with experience navigating complex legal and policy issues concerning AI product launches will find themselves at an advantage for the Director of Product Management role at DeepMind. Furthermore, familiarity with user research methodologies and contributing to industry standards related to AI privacy and security will be highly valued.

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    What impact does the Director of Product Management, Generative AI Privacy & Security have at DeepMind?

    As the Director of Product Management, Generative AI Privacy & Security, you will play a crucial role in ensuring that AI technologies designed by DeepMind uphold the highest standards of privacy and security. By directing innovative product initiatives and mediating between multiple stakeholders, you will help shape a responsible approach to AI deployment that benefits society at large.

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    Common Interview Questions for Director of Product Management, Generative AI Privacy & Security
    Can you describe a time you led a product initiative focused on privacy in AI?

    When answering this question, provide a specific example detailing the problem, your approach to addressing it, and the end results. Highlight your leadership role, any collaborative efforts, and how your solution aligned with privacy standards within AI, reflecting your capacity to manage complex projects.

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    How do you prioritize product features related to privacy and security?

    Discuss your method for prioritizing product features, emphasizing factors such as user feedback, regulatory requirements, and business objectives. Showcase your analytical skills and decision-making process while mentioning how you align these priorities with broader company goals at DeepMind.

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    What strategies would you implement for stakeholder engagement at the VP level?

    Share specific strategies for engaging stakeholders, including how to communicate product vision, solicit feedback, and achieve alignment. Emphasize your experience in building relationships and influence both within and outside the organization.

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    What trends do you see impacting AI privacy and security in the next few years?

    Stay up to date with industry trends and discuss key movements like regulations on data privacy, advancements in encryption technologies, and shifts in consumer expectations. Relate these trends to how they could influence product development and strategies at DeepMind.

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    Describe your experience with iteration based on user feedback.

    Illustrate your approach to incorporating user feedback into product development cycles. Provide a relevant example of how user insights directly influenced product enhancements, demonstrating your commitment to user-centered design principles.

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    How do you stay knowledgeable in the privacy and security domains concerning generative AI?

    Discuss resources such as industry publications, conferences, webinars, and networks that keep you informed. Mention any specific courses, certifications, or active industry participation that showcase your dedication to continuous learning.

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    What is your experience with cross-functional team collaboration?

    Emphasize your ability to work with diverse teams, share examples where essential ideas or feedback were sourced from product managers, engineers, or legal teams, and how this collaboration helped in achieving project goals.

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    How would you approach the development of a privacy policy for a new AI product?

    Share a systematic approach for privacy policy development that involves assessing regulatory requirements, analyzing risks, consulting stakeholders, and ensuring alignment with product goals. Stress the importance of transparency and user rights.

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    Can you give an example of how you resolved a conflict between privacy needs and product goals?

    Provide a specific scenario where you had to mediate differing priorities. Explain how you navigated the situation, the solutions you proposed, and the outcome, illustrating your conflict resolution skills.

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    What tools or methodologies do you utilize for product management?

    Mention tools you are proficient with, such as Agile methodologies, roadmapping software, or user research tools, and explain how you integrate these into your workflow at DeepMind for more efficient product management.

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    FUNDING
    SENIORITY LEVEL REQUIREMENT
    TEAM SIZE
    SALARY RANGE
    $253,000/yr - $379,000/yr
    EMPLOYMENT TYPE
    Full-time, on-site
    DATE POSTED
    January 12, 2025

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