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Salary
≈ $30k – $77k per year (Estimated)
Location
In office (Warsaw)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 22, 2026.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

Google Cloud empowers organizations worldwide to digitally transform their operations with industry-leading infrastructure, platform capabilities, and specialized expertise. We deliver enterprise-grade solutions built on Google’s technology and the industry's cleanest cloud. Across more than 200 countries and territories, customers trust Google Cloud to fuel their growth and solve their most complex business challenges.

The PACE Intelligence team is the global business intelligence foundation of Google Cloud, designed to accelerate sales growth through AI agents, advanced reporting, and streamlined performance management. We are responsible for building the semantic source of truth for the business, delivering robust reporting capabilities that serve over 10,000 sellers across the Cloud Go-To-Market (GTM) organization.

By empowering GTM and Regional teams with scalable insights, a resilient data layer, and innovative Key Performance Indicators (KPIs), we enable our sellers to deeply understand their book of business and bring the very best of Google to their customers. Ultimately, our mission is to drive business success and execute our Cloud Strategy through an insights-led ecosystem of dashboards, agents, and expert analysts.

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.

Poland: zł232000 - zł237000 (PLN) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Partner closely with cross-functional stakeholders to translate strategic business needs into robust KPI frameworks that accurately track revenue, consumption, and Go-To-Market (GTM) strategy execution.
  • Lead end-to-end business intelligence projects from conceptualization to delivery, ensuring data solutions deliver high-quality, relevant insights that accelerate Cloud consumption and revenue growth.
  • Transform complex data into actionable insights by developing data models, data marts, and automated reporting that provide both leadership and field teams with a clear, accurate picture of business performance.
  • Design and build robust data infrastructure-including data pipelines, warehouses, and advanced SQL scripts-to power scalable analytical models and intuitive, user-friendly dashboards.
  • Develop, test, and maintain AI agents that integrate with existing data pipelines to scale the generation and delivery of actionable business intelligence.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience in sales operations, management consulting, or program management.
  • Experience with data analysis and structured query language (SQL).
  • Experience developing analytical models using spreadsheet software.

Preferred qualifications:

  • Experience working with systems for collaborative code reviews including version control.
  • Experience with scripting languages such as Python, R, JavaScript, or Go for data manipulation, analysis, and automation.
  • Experience supporting data-driven sales operations, consulting, or program management and strategic cross-functional initiatives.
  • Experience working with generative AI to scale data-driven and insights-led business processes.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
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