Product Manager, BigQuery SQL

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management, with a focus on data integration, data warehousing, or big data technologies.
• 2 years of experience developing or launching products or technologies within analytics, SQL.

Preferred qualifications:

• Experience with cloud-based data platforms and services (e.g., Google Cloud Platform).
• Experience with data integration tools and technologies (e.g., ETL/ELT, Apache Spark, Apache Beam or similar).
• Ability to work independently and as part of a cross-functional team.
• Excellent communication and presentation skills.

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.

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.

Responsibilities

• Develop an understanding of the data integration landscape and identify opportunities to innovate and differentiate in the data integration space.
• Gather insights into customer needs, pain points, and competitive offerings to inform product development.
• Translate customer needs and market trends into a prioritized roadmap of features and enhancements.
• Work with engineering and design teams to define product specifications, user experience, and technical architecture.
• Represent Data Integration at industry events, conferences, and customer meetings.