Group Product Manager, Cloud Business Intelligence
- Kirkland, Washington
- Onsite
- full time
- $240k–$333k/year
- Posted today
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About the role
MINIMUM QUALIFICATIONS:
* Bachelor's degree or equivalent practical experience.
* 10 years of experience in product management or a related technical role.
* 5 years of experience developing or launching products or technologies within
databases, analytics, big data, or a related area.
* 5 years of experience in building products in the domain of Business
Intelligence, data analytics, or a related data-driven fields.
PREFERRED QUALIFICATIONS:
* Master's degree in a technology or business related field.
* 7 years of experience working cross-functionally with engineering, UX/UI,
sales finance, and other stakeholders.
* 7 years of experience in a business function or role (e.g., strategic
marketing, business operations, consulting).
* 5 years of experience in a role preparing and delivering technical
presentations to executive leadership.
* Extensive experience in product management with a focus on artificial
intelligence, machine learning, or autonomous systems.
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.
Our mission is to pioneer the future of enterprise data intelligence by evolving
complex business applications into intuitive, AI-native experiences that benefit
customers at scale. Our solutions equip both humans and agents with the trusted
data and proactive insights needed to drive meaningful action. As a critical
pillar of the Data Cloud full-stack solution, we deliver a high-performance,
beautiful interface to data and modeling, alongside the foundational business
intelligence primitives that support the modern agentic enterprise.
Google Cloud accelerates every organization’s ability to digitally transform its
business and industry. We deliver enterprise-grade solutions that leverage
Google’s cutting-edge technology, and tools that help developers build more
sustainably. Customers in more than 200 countries and territories turn to Google
Cloud as their trusted partner to enable growth and solve their most critical
business problems.Individual pay is determined by factors including job-related
skills, experience, and relevant education or training.
US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Lead the long-term product goal and strategy for emerging agentic experiences
across the Cloud BI portfolio, ensuring it drives significant value for both
customers and the business.
* Make high-stakes decisions regarding product direction, resource allocation,
and feature prioritization to achieve organizational goals.
* Partner with executive leaders across engineering, design, and other
departments to align multiple teams around a shared goals for AI-powered data
solutions.
* Drive the adoption of AI-native development processes, ensuring that our
products are built using the latest technology and best practices for
intelligent systems.
* Identify and advocate for new areas of investment, utilizing your expertise
in the data and AI landscape to keep our products at the forefront of the
industry.
Skills
- Product Management
- Business Intelligence
- Data Analytics
- Big Data
- Artificial Intelligence
- Machine Learning
- Strategic Marketing
- Business Operations
- Cross-functional Leadership
- Technical Presentation
- Resource Allocation
- Product Strategy
- AI-native Development
- Database Technologies
- Stakeholder Management
- Product Lifecycle Management
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