SMB and Sales Engines Lead, Google Cloud

SMB Performance and Sales Engines Lead, Google Cloud

Share SMB Performance and Sales Engines Lead, Google Cloud

Google Sunnyvale, CA, USA ;
Chicago, IL, USA ; +4 more ; +3 more

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

The application window will be open until at least September 11, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Chicago, IL, USA;
Austin, TX, USA;
Atlanta, GA, USA;
Boulder, CO, USA
.

Share SMB Performance and Sales Engines Lead, Google Cloud

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in go-to-market strategy, sales operations, strategy and operations, data analytics, or management consulting.
• Experience in data analysis with data analytics tools (e.g., SQL, Big Query, BI platforms) and working with data scientists, BI engineers, and GTM systems developers.
• Experience managing business activities, such as sales-play planning, running business performance reviews, or goal governance.
• Experience working with executive-level stakeholders to present data analysis, propensity models, and business performance metrics.
• Experience with investigative problem-solving, structured data analysis, and translating datasets into business insights.

• Master's degree or MBA.
• Experience in management consulting, finance, or business strategy function.
• Experience working with sales targeting models, propensity-based prioritization, and scaling GTM performance metrics (e.g., tracking win-rate lifts, campaign conversion, or new logo acquisition).
• Excellent relationship-building skills with sales leaders, product practice managers, and cross-functional stakeholders (e.g., BI, sales operations, tooling and systems teams).
• Track record of high productivity and execution under tight deadlines, with a willingness to tests assumptions, take direct ownership, and drive business outcomes.

As a Small and Medium Business (SMB) Performance and Sales Engines Lead for Data-Driven Sales Engines and Performance, you will lead the design, governance, and commercialization of customer targeting intelligence and dynamic sales engines across Google Cloud’s SMB segment. Operating at the intersection of business acceleration and field strategy, you will own the evolution of multi-source propensity models and external market signals, translating first-party consumption data, firmographics, and buyer intent into high-yield sales plays and actionable seller workflows.

In this role, you will bridge the gap between technical data science/engineering and sales execution. Partnering with cross-functional leaders in Strategy and Operations, Business Intelligence, Sales Systems and Tooling, Change Management, and SMB sales teams, you will optimize sales workflows, increase seller profitability at scale, and establish measurement frameworks to track win-rate lifts, seller adoption, pipeline conversion, and consumption growth. 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: $186000 - $269000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

• Serve as the Strategy and Operations lead for data-driven sales engines and customer targeting across the SMB segment, unifying account prioritization methodologies with streamlined seller workflows.
• Maintain and continuously refine targeting models and signal repositories, integrating multi-source usage data, market indicators, and buyer…