Agentic Data Cloud Sales Specialist III, Google Cloud

Google•Toronto, ON

4d•$138,000 - $200,000

About The Position

As an Agentic Data Cloud Sales Specialist, you will drive Google Cloud’s data and AI growth by securing net-new greenfield customers and identifying untapped workloads. You will partner with Field Sales Representatives, Customer Developers, and partners to execute joint Data+AI initiatives and establish long-term data platform standardization. The role focuses on value-based selling to business leaders, including line-of-business executives, CDOs, CAIOs, and CFOs. You will identify business challenges, develop ROI and total-cost-of-ownership business cases, and demonstrate the value of modernizing data estates on Google Cloud. You will guide technical stakeholders and position Google Cloud’s Agentic Data Cloud products—including BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB—as a data intelligence platform for AI. You will present demonstrations showing how unified, governed data foundations can support secure AI agents and real-time experiences. Google Cloud provides enterprise-grade solutions and tools to help organizations digitally transform. Customers in more than 200 countries and territories work with Google Cloud to support growth and address business challenges. Individual pay depends on job-related skills, experience, and relevant education or training. Compensation is listed as CAD 180,000–184,000 plus a 100% bonus target, equity, and benefits in Canada, and USD 138,000–200,000 plus a 100% bonus target, equity, and benefits in the US.

Requirements

Bachelor’s degree or equivalent practical experience.
10 years of quota-carrying enterprise sales experience.
Experience building business cases through workshops or product demonstrations for business executives.
Experience developing partnerships with technical stakeholders, such as Data Developers and Data Scientists.
Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.

Nice To Haves

Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
Experience working with Global System Integrators, hyperscalers, or Independent Software Vendors (ISVs) to co-sell and accelerate pipeline.
Experience closing large-scale data and AI transformation deals in regulated or high-growth enterprise verticals, such as Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing.
Practical understanding of modern cloud architectures and how data governance, including cataloging, lineage, and compliance, and clean data estates enable AI and real-time analytics.

Responsibilities

Deliver against quota and achieve or exceed business and growth goals; drive net-new greenfield logos and workloads in existing accounts through proactive campaigns.
Manage complex, multi-threaded sales cycles from discovery and value hypothesis through ROI business-case development and commercial close.
Engage line-of-business leaders and executives, including the Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, and Chief AI Officer, using value-selling to connect Data and AI capabilities to measurable business outcomes.
Coordinate with Field Sales Representatives and partners on joint Data+AI initiatives, platform standardization, and co-selling.
Present modern architectures using BigQuery, Spark, Spanner, and AlloyDB to demonstrate how unified data foundations support high-performance, hallucination-free AI agents.