Product Manager, AI, Gboard
- Mountain View, California
- Onsite
- full time
- $163k–$237k/year
- Posted 3 days ago
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About the role
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.
The Gboard team is responsible for input across phones, tablets, laptops, and
Wear across modalities (e.g., tap typing, voice, expressions). In this role, you
will lead multiple areas of the product to enable it to become a Gemini based
multimodal writing experience that feels personalized, adaptive and
contextual.Android is Google’s mobile operating system powering more than 3
billion devices worldwide. Android is about bringing computing to everyone in
the world. We believe computing is a super power for good, enabling access to
information, economic opportunity, productivity, connectivity between friends
and family and more. We think everyone in the world should have access to the
best computing has to offer. We provide the platform for original equipment
manufacturers (OEMs) and developers to build compelling computing devices
(smartphones, tablets, TVs, wearables, etc) that run the best apps/services for
everyone in the world.Individual pay is determined by factors including
job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
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.
Skills
- Product Management
- Generative AI
- Android
- Product Strategy
- Cross-functional Leadership
- Technical Presentation
- Software Development
- KPI Definition
- User Insights
- Machine Learning
- UX/UI Collaboration
- Product Lifecycle Management
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