Google

Runs Search and YouTube and builds Gemini AI

Data Cloud Sales Specialist 2

Account ExecutiveConfirmed live in the last 24 hours

Full-time

About the Job

Requirements

A bachelor's degree or equivalent practical experience is required.
Seven 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 artificial intelligence/machine learning is required.

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 through return-on-investment business case creation and commercial close.
Engage Line of Business leaders, Chief Data Officers, Chief Financial Officers, Chief Marketing Officers, and Chief AI Officers through value-selling, tying modern Data and AI capabilities to quantified business outcomes.
Align cross-functionally with Field Sales Representatives and partners to execute joint Data and 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.
Partner with Field Sales Representatives, Customer Engineers, and Partners to execute joint Data and 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 involving return on investment and total cost of ownership reduction, and demonstrate the quantifiable business value of modernizing data estates on Google Cloud Platform.
Guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite, including BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB, as a data intelligence platform for AI.
Present demos showcasing how unified, well-governed data foundations support 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 deals within regulated or high-growth enterprise verticals such as Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing.
Practical understanding of how modern cloud architectures, data governance (including 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 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 & 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.
7 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.

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.

As a 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 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 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 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $116000 - $169000 (USD) + 100% bonus target + equity + benefits

Learn more about benefits at Google.

The application window will be open until at least October 27, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.

Bachelor's degree or equivalent practical experience.
7 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.

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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