Google Devops Jobs in Chicago, IL (NOW HIRING)

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X The application window will be open until at least August 27, 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: Chicago, IL, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA.
Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 6 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, BigQuery, BI platforms) and working with data scientists, BI engineers, and GTM systems developers.
• Experience managing rhythm of business activities, such as sales-play planning, running business performance reviews, or targeting 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 actionable business insights.

Preferred qualifications:

• 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.

About the job
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 Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you'll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $221000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities

• 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 intent to optimize account selectivity and align with business priorities.
• Partner with Data Science, Sales Tooling, and go-to-market (GTM) Systems teams to embed targeting intelligence and automated recommendations into core seller platforms, driving regular representative usage, high satisfaction, and operational efficiency.
• Design and implement measurement frameworks and key performance indicators (KPIs) to track both commercial impact (win-rate lifts, new logo acquisition, consumption) and seller health metrics (play adoption, process efficiency, workflow conversion) to iteratively capture business.

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