Senior Data Cloud & AI Solutions Sales Strategist

Google LLC; Cambridge (MA); On-site; USD 138,000 - 200,000; Full time

Job summary

Google LLC in Cambridge, MA, USA seeks an Agentic Data Cloud Sales Specialist to drive data and AI growth, secure greenfield logos, and partner with Field Sales, Customer Developers, and Partners to execute Data+AI plays.

You will engage LoB leaders and CFO/CAO to uncover pain points, build ROI/TCO business cases, and demonstrate the value of modernizing data estates on GCP through BigQuery, Spanner, AlloyDB, and related tools.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of quota-carrying enterprise sales experience.
• Experience building business cases through workshops or product demos to business executives.
• Experience developing partnerships with technical stakeholders (e.g., Data Developers, Data Scientists).
• Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.

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.
• Run complex, multi-threaded business cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
• Engage Line of Business leaders through value-selling, tying modern Data and AI capabilities to quantified business outcomes.
• Align cross-functionally with FSRs and Partners to execute joint Data+AI plays and drive platform standardization.

Skills

Bachelor degree / equivalent exp

10 years enterprise sales exp

ROI / business case workshops

Partnerships with technical Stkhldrs

Positioning data/AI solutions

Education

Bachelor's degree or equivalent

Job description

Google LLC in Cambridge, MA, USA seeks an Agentic Data Cloud Sales Specialist to drive data and AI growth, secure greenfield logos, and partner with Field Sales, Customer Developers, and Partners to execute Data+AI plays.

You will engage LoB leaders and CFO/CAO to uncover pain points, build ROI/TCO business cases, and demonstrate the value of modernizing data estates on GCP through BigQuery, Spanner, AlloyDB, and related tools.