Google

Runs Search and YouTube and builds Gemini AI

Data Cloud Sales Specialist - Google Cloud

Account ExecutiveConfirmed live in the last 24 hours

Full-timeTaipei City, TaiwanNo salary listedIn-person

About the Job

Requirements

A bachelor's degree or equivalent practical experience is required.
At least 10 years of quota-carrying enterprise sales experience is required.
Experience building business cases through workshops or product demonstrations for business executives is required.
Experience developing partnerships with technical stakeholders, such as Enterprise Architects, Data Engineers, and Data Scientists, is required.
Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML is required.
Fluent Mandarin and English communication skills are required to manage stakeholder relationships.

Responsibilities

Deliver against quota and achieve or exceed strategic business and growth goals.
Drive new greenfield logos and workloads in existing accounts through proactive campaigns.
Run complex, multi-threaded business cycles from initial discovery and value hypothesis through ROI business case creation and commercial close.
Engage business leaders, including Chief Data Officers, Chief Financial Officers, Chief Marketing Officers, and Chief AI Officers, through value-selling that ties modern data and AI capabilities to quantified business outcomes.
Align cross-functionally with Field Sales Representatives and partners to execute joint Data+AI plays, driving platform standardization and co-sell motions.
Whiteboard modern architectures, including BigQuery, Spark, Spanner, and AlloyDB, to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
Drive growth by securing new greenfield logos and identifying untapped, uncommitted workloads.
Partner with Field Sales Representatives, Customer Engineers, and partners to execute joint Data+AI plays that establish long-term data platform standardization.
Engage line-of-business leaders, Chief Data Officers, Chief AI Officers, and Chief Financial Officers to discover critical pain points, build robust business cases such as ROI and total-cost-of-ownership reduction, and demonstrate the quantifiable business value of modernizing data estates on Google Cloud.
Guide technical stakeholders and position Google Cloud's Data Cloud suite, including BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB, as a data intelligence platform for AI.
Present demonstrations showing how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences.

Desired Qualifications

Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or generative AI platforms against legacy or other proprietary enterprise systems.
Experience working with Global System Integrators, hyperscalers, or independent software vendors to co-sell and accelerate pipeline.
Experience closing large-scale data and AI transformation agreements within regulated or high-growth enterprise verticals, such as Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing.
Understanding of how modern cloud architectures, data governance such as cataloging, lineage, and compliance, and clean data estates enable AI and real-time analytics.

Deliver against quota and achieve or exceed strategic business and growth goals. Drive 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 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.

Minimum 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., Enterprise Architects, Data Engineers, Data Scientists).
Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.
Ability to communicate in Mandarin and English fluently to manage stakeholder relationships.

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 agreements within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
Understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.

As an Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing 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 are 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 GCP.

Additionally, you will guide technical stakeholders and position Google Cloud's Data Cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demonstrations 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.

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., Enterprise Architects, Data Engineers, Data Scientists).
Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.
Ability to communicate in Mandarin and English fluently to manage stakeholder relationships.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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