Data Cloud Sales Lead, Power & Utilities (GCP AI/ML)

Google LLC; Atlanta, Addison (GA, TX); Hybrid; USD 176,000 - 244,000; Full time

Job summary

Google Cloud is seeking an Agentic Data Cloud Sales Specialist to drive data and AI growth across enterprise accounts in the US. You will secure net-new logos and expand workloads by partnering with Field Sales, Customer Engineers, and Partners to execute Data+AI plays that establish long-term data platform standardization.

You will engage with LoB leaders and C-suite to uncover pain points, build ROI-based business cases, and demonstrate measurable value of modernizing data estates on GCP.

Qualifications

• Quota-carrying enterprise sales experience required.
• Ability to build ROI-based business cases and return-on-investment analyses.
• Experience partnering with technical stakeholders such as architects and data engineers.
• Experience positioning data management, analytics, or AI/ML solutions.

Responsibilities

• Deliver against quota and achieve or exceed strategic goals; drive net-new logos and workloads via proactive campaigns.
• Run complex, multi-threaded sales cycles from discovery to ROI business-case creation and close.
• Engage LoB leaders and C-suite through value-selling tied to data and AI outcomes.
• Align cross-functionally with Field Sales Reps and Partners to execute Data+AI plays and co-sell.
• Illustrate modern architectures (BigQuery, Spark, Spanner, AlloyDB) to power secure, high-performance AI.

Skills

Enterprise sales

Business case development

Stakeholder partnerships

Data/AI solutions positioning

Education

Bachelor's degree or equivalent practical experience

Job description

Google Cloud is seeking an Agentic Data Cloud Sales Specialist to drive data and AI growth across enterprise accounts in the US. You will secure net-new logos and expand workloads by partnering with Field Sales, Customer Engineers, and Partners to execute Data+AI plays that establish long-term data platform standardization.

You will engage with LoB leaders and C-suite to uncover pain points, build ROI-based business cases, and demonstrate measurable value of modernizing data estates on GCP.