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Google Bi Jobs in California (NOW HIRING)

You'll work with backend data systems, BI tools, Streamlit dashboards, Google Search Console, SEMrush, Snowflake, and other reporting sources to help teams understand what is changing, why it matters ...

Data Engineer

Los Angeles, CA · On-site

$100K - $130K/yr

... BI Engineer, Data Warehousing Engineer, or related occupation. * Experience with the following: * ETL tools such as Talend, SSIS, or Informatica * Google Cloud Platform, including Google Cloud Bucket ...

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Strong hands-on experience writing complex SQL queries, building dashboards in modern BI tools, and managing admin portals for Google Workspace and Azure AD/Entra ID. * Problem-Solving & Data ...

Hi, Our client is looking for SSRS Developer with Google Cloud Platform in Los Angeles, CA below is ... Exposure to Power BI and Microsoft BI Stack. * Experience with Azure Data Factory (ADF) and Azure ...

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As of Sep 7, 2026, the average hourly pay for google bi in California is $50.19, according to ZipRecruiter salary data. Most workers in this role earn between $38.41 and $57.88 per hour, depending on experience, location, and employer.

What is a Google BI?

A Google BI (Business Intelligence) job typically involves analyzing large datasets, creating dashboards, and generating insights to support data-driven decision-making. BI professionals at Google work with SQL, data visualization tools, and cloud technologies to transform raw data into actionable insights. They collaborate with cross-functional teams to enhance business operations, optimize performance, and support strategic initiatives. Strong analytical skills, problem-solving abilities, and experience with data modeling are essential for this role.

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As a Google BI professional, your daily tasks will often include extracting, transforming, and analyzing large datasets to identify trends and support business decision-making. You'll develop dashboards and reports using tools like Looker or Google Data Studio, collaborate with various teams to understand their data needs, and translate business requirements into analytical solutions. You may also troubleshoot data inconsistencies and work with engineering teams to improve data reliability. This dynamic environment encourages ongoing learning and provides exposure to cutting-edge analytics projects across multiple business domains.

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To thrive as a Google Business Intelligence (BI) professional, you generally need strong analytical skills, proficiency in data modeling, and a solid understanding of business processes, typically supported by a degree in computer science, data analytics, or a related field. Experience with tools such as SQL, Tableau, Looker (Google Data Studio), and possibly certifications in cloud platforms like Google Cloud Platform (GCP) are highly valued. Excellent communication, problem-solving abilities, and teamwork help translate complex data into actionable insights for diverse stakeholders. These skills are crucial for driving data-informed decisions, optimizing business strategies, and effectively collaborating across departments in a fast-paced tech environment.

What are the most commonly searched types of Google Bi jobs in California?

The most popular types of Google Bi jobs in California are:

Infographic showing various Google Bi job openings in California as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $104,401 per year, or $50.2 per hour.

Senior Manager, Product Lead, YouTube Business Technology

Google Inc.

San Bruno, CA • On-site

$250/hr

Other

Posted yesterday

New


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Senior Manager, Product Lead, YouTube Business Technology

YouTube San Bruno, CA, USA ; Mountain View, CA, USA ; +2 more ; +1 more

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA; New York, NY, USA

  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
  • 10 years of leadership experience in Product Management, or Technical Solutions Delivery.
  • 3 years of experience leading product teams and managing cross-functional technical initiatives, leading a team of teams.
  • Experience in either system design or reading code (e.g., Java, C++, Python, SQL).
  • Experience working directly with AI/ML teams to deliver automated or agentic solutions in a customer support context.
  • Experience managing product roadmaps using prioritization frameworks, empathy maps, and design thinking.
Preferred qualifications:
  • 15 years of experience across systems design, product management, and software engineering, including 4 years of high-impact people and program management.
  • Experience in product systems thinking, analyzing how changes in CRM or support ecosystems influence the entire value stream and Agentic AI platforms.
  • Ability to navigate and influence director and VP-level stakeholders across Engineering, Product, and Business Operations.
  • Ability to lead organizational transformation, maturing operating models to unite cross-functional teams and drive large-scale technology growth.
  • Proven track record designing enterprise systems and defining complex data architectures for large-scale consumption and mission-critical Google Cloud Contact Center solutions.
About the job

The Business Technology team is a part of YouTube Go To Market Solutions. We focus on the business of YouTube, ensuring the YouTube business organization can evolve at the speed of YouTube. We provide the tools and systems that deliver the information, capabilities, and insights necessary to help our partners — and YouTube — continue to grow.

At YouTube, our core business systems are not back-office utilities, they are the intelligent engine powering a global creative economy. As the Manager of Product in YouTube Technology and Insights (T&I), you will sit directly at the epicenter of an organization committed to defining what an AI-first business enterprise looks like at Google scale.

In this role, you will have an extraordinary charter: to architect and execute the AI-driven transformation of YouTube’s mission-critical business platforms. Your domain spans the end-to-end Go-to-Market portfolio, interconnecting Enterprise Support, Creator and Customer Success, Global Partnerships, and Business Intelligence. Every platform decision you make directly impacts how billions of viewers consume content, millions of creators build their livelihoods, and thousands of GTM team members drive commercial growth.

You will not simply experiment with AI on the fringes; you will operationalize production-grade Agentic AI, large-scale predictive models, and Next-Gen AI into the daily fabric of YouTube’s operations. By shifting our systems from reactive to proactive, autonomous, and self-healing intelligence, you will establish the benchmark for enterprise AI across Google. Supported by a high-caliber team of Product Leads and grounded in a servant-leadership, "OneTeam" culture, you will bridge Google research with real-world operational execution, transforming how YouTube serves its users, partners, and business.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $233000 - $324000 (USD) + 25% bonus target + equity + benefits

  • Formulate and advocate the overarching product strategy spanning YouTube’s core business systems, unifying Support, Partnerships, Creator and Customer Success, and BI into a coherent, high-velocity ecosystem.
  • Communicate transparently with Executive Directors, VPs, and cross-functional business heads, translating complex technical roadmaps and AI investments into clear business value, operational efficiency, and risk mitigations.
  • Lead continuous customer and partner discovery across creators, enterprise partners, and internal operators to translate complex operational pain points into crisp, prioritized product roadmaps and clear business OKRs.
  • Move generative and agentic AI initiatives from proof-of-concept into resilient, to production-grade tools that automate high-volume workflows, deflect friction, and elevate human decision-making. Deploy machine learning models that anticipate partner and creator needs before escalations occur.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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