Data Cloud Sales Specialist III, Google Cloud

Google LLC; Auckland; On-site; NZD 210,000 - 320,000; Full time

Job summary

Google Cloud is seeking a Share Data Cloud Sales Specialist III in Auckland to drive growth by securing new greenfield logos and expanding data/AI workloads. You will collaborate with Field Sales, Customer Engineers, and Partners to run Data+AI plays that standardize data platforms.

You will engage with senior leaders to demonstrate ROI through business cases and ROI/TCO reductions, showcasing BigQuery, Knowledge Catalog, and other data tools as premium AI-ready platforms.

Qualifications

• 10 years of quota-carrying enterprise sales experience.
• 5 years of data and analytics consulting experience in management consulting or systems integrator firms.
• Experience building business cases through workshops or product demos to business executives.
• Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
• Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.

Responsibilities

• Deliver against quota and achieve or exceed strategic business and growth goals.
• Run complex, multi-threaded business cycles from discovery to ROI business case creation and commercial close.
• Engage LoB leaders, CDO, CAIO, and CFO through value-selling tying data and AI capabilities to business outcomes.
• Align cross-functionally with Field Sales Representatives and Partners to execute Data+AI plays and co-sell motions.
• Whiteboard modern architectures to demonstrate how data foundations power AI agents.

Skills

Quota-carrying enterprise sales

Business case development

Stakeholder engagement

Education

Bachelor's degree or equivalent practical experience

Job description

Share Data Cloud Sales Specialist III, Google Cloud

corporate_fare Google place Auckland, New Zealand

• Bachelor's degree or equivalent practical experience.
• 10 years of quota-carrying enterprise sales experience.
• 5 years of data and analytics consulting experience, either in a management consulting or systems integrator firm, positioning data or AI business use cases or business outcomes for customers.
• Experience building business cases through workshops or product demos to business executives.
• Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
• Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.

Preferred qualifications:

• 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 ISVs to co-sell and accelerate pipeline.
• Experience closing large-scale data and AI transformation deals within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
• Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. You will drive growth by securing net-new greenfield logos and identify untapped, uncommitted workloads. You will partner with Field Sales Representatives, Customer Engineers, and Partners to execute joint Data+AI plays that establish long‑term data platform standardization. You will be a master of value‑selling. You will engage with line‑of‑business (LoB) leaders, CDO, CAIO, and CFO to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on Google Cloud Platform (GCP). You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demos that showcase how unified, well‑governed data foundations power secure, hallucination‑free AI agents and real‑time experiences. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Deliver against quota and achieve or exceed strategic 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, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, Chief AI Officer, 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, driving platform standardization and co‑sell motions.
• Whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high‑performance, hallucination‑free AI agents.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.