Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in product management or a related technical role.
- 5 years of experience taking technical products from conception to launch.
- Experience with Generative AI or Large Language Models.
Preferred qualifications:
- Master's degree in a technology or a business related field.
- 7 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders.
- 5 years of experience in a role preparing and delivering technical presentations to executive leadership.
- Experience in product development methodologies.
- Knowledge of building accessibility best practices.
About the job
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
As a Product Manager, you will play a crucial role in developing AI platforms and applications for Google Cloud enterprise customers. You will launch enterprise AI products and scale enterprise resource management platforms who is excited to push boundaries, rapidly prototype ideas, and contribute to a team that is motivated to exceed industry expectations.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Drive the goal and roadmap for AI products, leveraging data and user insights to inform critical decisions.
- Identify and track emerging industry trends, capitalizing on AI and automation opportunities within the enterprise. Forge strong partnerships across Google, collaborate with key AI capability teams to align roadmaps and identify strategic touchpoints.
- Lead the creation of rapid prototypes and iterations, motivated by user feedback. Proactively explore and advocate user-centric proposals, bringing innovative ideas and creative solutions to the table.
- Work closely within a small, experienced team, partner with engineering, design, research, marketing, and sales to ensure cohesive and successful product launches.
- Address complex, ambiguous problems and develop creative, effective solutions. Efficiently debug, track, and resolve issues to ensure high usability and value.
