Join the Google Cloud Platform team and empower businesses to innovate and scale using cutting-edge cloud technology. Our secure, reliable, and scalable products support customers from startups to enterprises, enabling them to connect with their audiences and drive growth. As a key member of an innovative team, you will shape the future of how businesses leverage technology.

This role is pivotal in accelerating Google Cloud's data and AI business. You will focus on acquiring new clients and uncovering untapped opportunities. Collaborating with sales representatives, engineers, and partners, you'll implement joint Data+AI strategies to establish standardized data platforms for the long term.

Drive success by mastering value-selling techniques. Engage with business leaders, Chief Data Officers, Chief AI Officers, and Chief Financial Officers to identify critical business challenges and build compelling business cases demonstrating ROI and TCO reduction through data modernization on GCP. You will also guide technical stakeholders, showcasing Google Cloud's Agentic Data Cloud suite (including BigQuery, Knowledge Catalog, and AlloyDB) as the premier data intelligence platform for AI.

Deliver against sales quotas and growth objectives by securing net-new clients and expanding workloads within existing accounts through proactive campaigns. Manage complex sales cycles from initial engagement and value proposition development to business case creation and deal closure. Align with field sales representatives and partners on joint Data+AI initiatives to drive platform standardization and co-selling efforts. Illustrate modern architectures to highlight how unified data foundations empower high-performance, hallucination-free AI agents.

A Bachelor's degree or equivalent practical experience is required. Candidates should possess at least 7 years of quota-carrying enterprise sales experience. Proven ability to build business cases through workshops or product demonstrations for executive audiences is essential. Experience developing partnerships with technical stakeholders such as Enterprise Architects, Data Engineers, and Data Scientists is also necessary.

Demonstrated experience in positioning and selling technical solutions across data management, analytics, infrastructure, or AI/ML is critical. Preferred qualifications include experience with modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms, particularly when competing against legacy systems. Experience collaborating with Global System Integrators, hyperscalers, or ISVs for co-selling is beneficial, as is a track record of closing large-scale data and AI transformation deals within specific enterprise verticals like Financial Services, Healthcare, Retail, or Manufacturing. A practical understanding of how modern cloud architectures, data governance, and clean data estates enable AI and real-time analytics is highly valued.