Join Google Cloud's dynamic team and be at the forefront of driving critical data and AI growth. This role focuses on securing new business and uncovering untapped opportunities within existing accounts. You will collaborate with sales representatives, customer engineers, and partners to implement joint Data+AI strategies, aiming for long-term data platform standardization.

Master value-selling by engaging with Line-of-Business leaders, CDOs, CAIOs, and CFOs. Your goal will be to identify core pain points, build compelling business cases demonstrating ROI and TCO reduction, and highlight the quantifiable value of modernizing data estates on Google Cloud Platform (GCP).

Guide technical stakeholders and effectively position Google Cloud's agentic data cloud suite, including BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB, as the premier data intelligence platform for AI. Present impactful demos showcasing how unified, well-governed data foundations enable secure, hallucination-free AI agents and real-time experiences.

Achieve and exceed business and growth targets by delivering against sales quotas. Drive net-new greenfield logos and expand workloads within existing accounts through proactive campaigns.

Manage intricate, multi-threaded sales cycles from initial discovery and value hypothesis to the creation of Return on Investment (ROI) business cases and commercial closure.

Engage effectively with business leaders, Chief Data Officers, Chief Financial Officers, Chief Marketing Officers, and Chief AI Officers through value-selling, consistently linking modern data and AI capabilities to measurable business outcomes.

Align cross-functionally with Field Sales Representatives (FSRs) and partners to execute joint Data+AI plays, fostering platform standardization and co-sell motions. Illustrate modern architectures (e.g., BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations empower high-performance, hallucination-free AI agents.

A Bachelor's degree or equivalent practical experience is required.

Demonstrate at least 10 years of experience in quota-carrying enterprise sales.

Proven experience building business cases through workshops or product demonstrations for business executives.

Experience developing robust partnerships with technical stakeholders, such as enterprise architects, data engineers, and data scientists.

Solid experience in positioning and selling technical solutions within data management, analytics, infrastructure, or AI/ML domains.

Preferred qualifications include experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against established or proprietary enterprise systems. Experience collaborating with global system integrators, hyperscalers, or Independent Software Vendors (ISVs) for co-selling and pipeline acceleration is also highly valued.

Experience closing large-scale data and AI transformation agreements within specific regulated or high-growth enterprise verticals like financial services, healthcare/life sciences, retail, or manufacturing is beneficial. A practical understanding of how modern cloud architectures, data governance (including cataloging, lineage, and compliance), and clean data estates enable AI and real-time analytics is essential.