Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience taking consumer-facing technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc.).
- Experience with the domain areas of generative AI and Android.
Preferred qualifications:
- Master's degree in a technology or business related field.
- 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
- 3 years of experience in a role preparing and delivering technical presentations to senior leadership.
- 2 years of experience in software development or engineering.
- 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
- 1 year of experience in technical leadership.
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.
US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead the strategy and execution for next-generation, generative AI-driven consumer products, scaling machine learning technologies to users globally.
- Craft comprehensive product strategies grounded in user insights and data-driven arguments, aligning the team's roadmap with broader product area objectives and defining user-centric KPIs.
- Own multiple complex feature sets within a broader product ecosystem, solving ambiguous technical challenges while sharing accountability for flawless execution and delivery.
- Collaborate between engineering, product, and business teams to synthesize unified narratives, build deep trust, and unlock cross-company innovation.
- Identify and unblock dependencies, ensuring project momentum while maintaining a standard for product impact.
