Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience in product management or related technical role.
- Experience with advanced AI/ML concepts, including large language models (LLMs) research and products.
Preferred qualifications:
- MBA or advanced degree in a relevant technical or business field.
- Experience with model and agent evaluation frameworks.
- Experience with products geared toward a technical user base.
- Experience evaluating the applications, risks, and benefits of new technologies.
- Ability to communicate with impact, fostering a collaborative environment that inspires and motivates cross-functional teams to achieve ambitious goals.
About the job
As a Product Manager on the Science team, you will work directly with research scientists and cross-functional product development teams to develop artificial intelligence (AI) systems aimed at transformatively accelerating science. In this role, you will help shape our approach to developing, shipping, and identifying high-impact applications for science agents. You will play a critical role in building and applying new agentic systems, bridging frontier research with real-world scientific issues. This role sits at the intersection of research and product, and requires technical depth and curiosity, insight, ability to navigate ambiguity, and a direct approach.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Responsibilities
- Advocate for the user and become a domain expert (e.g., familiarity with science tools and their technical foundations, capabilities, and limitations).
- Build prototypes and partner with teams across Google to land our research in scaled products and partner with research teams to improve the way we measure and hill climb quality.
- Identify nascent research that could become transformative products.
- Flex to other initiatives in science as needed.
- Identify impactful applications of flagship agents to new scientific domains and help incubate new agentic capabilities to assist with real-world scientific workflows.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also
Google's EEO Policy and
EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our
Accommodations for Applicants form.
