Principal Product Manager, Foundational Algorithms, Aligned AI
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Minimum qualifications:
- 15 years of experience in product management.
- 5 years of experience defending high-usage internet platforms from abuse and safety risks.
- 3 years of experience utilizing ML or AI to build user-facing experiences.
Preferred qualifications:
- PhD in Engineering or a related field.
- Authorship of scientific publications.
- Track record of exploring new scientific directions with creativity.
About the job
Algorithmic advancements will play a significant role in the future of GenAI models and agents, offering the promise of additional step changes in quality. At the same time, as agentic capabilities expand, ensuring their safety, alignment, and resilience against abuse will be critical for Google’s users, advertisers, and customers. We are seeking a visionary Principal PM in Google Research to define the future of foundational algorithms, privacy, and safety, partnering closely with PAs to develop and implement new approaches and technologies. This role will be a key advocate for Aligned AI, ensuring the strategy receives and maintains SVP-level attention and buy-in across Google.
In this senior-leadership role, you will bring deep expertise in algorithms, graph learning, safety, privacy, and anti-abuse research to the forefront of our most advanced AI projects. While you will operate on the Individual Contributor (IC) ladder, you will also manage and mentor a small, highly specialized team of PMs dedicated to this mission. You will also influence the organizational missions of partner teams to ensure cohesive execution of the foundational algorithms, safety, and privacy strategy.
Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.
The US base salary range for this full-time position is $282,000-$392,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Identify and launch new approaches in model algorithms & architectures, complex agentic reasoning, graph learning, and memory management.
- Chart the strategic course for user privacy, safety, and trust in next-generation agentic AI, anticipating complex future risks and architecting proactive mitigation and safeguarding frameworks.
- Pioneer applications that ensure LLMs and autonomous agents strictly adhere to societal norms and exhibit safe, behaviorally appropriate actions across all edge cases. Identify and execute the path forward for 0-1 initiatives, including consequence-aware AI, ensuring that these nascent technologies successfully transition from research concepts to scalable, production-ready solutions.
- Develop robust methodologies to detect, prevent, and continuously counter abuse vectors within rapidly evolving AI ecosystems.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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