Agentic Data Cloud Sales Specialist 3 - Google Cloud
CA$180k - CA$184k+ 100% bonus target + Equity
Expert
Bachelor's
Toronto, ON, Canada
In Person
Sales & Account ManagementAccount Executive
About the job
Requirements
- A bachelor's degree or equivalent practical experience.
- 10 years of quota-carrying enterprise sales experience.
- Experience building business cases through workshops or product demos for business executives.
- Experience developing partnerships with technical stakeholders, such as data developers and data scientists.
- Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.
Responsibilities
- Deliver against quota and achieve or exceed business and growth goals.
- Drive net-new greenfield logos and workloads in existing accounts through proactive campaigns.
- Run complex, multi-threaded sales cycles from initial discovery and value hypothesis through ROI business case creation and commercial close.
- Engage line-of-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.
- Illustrate modern architectures, including BigQuery, Spark, Spanner, and AlloyDB, to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
- Identify untapped, uncommitted workloads and secure net-new greenfield logos.
- Discover critical pain points, build robust business cases based on ROI 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 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 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 such as cataloging, lineage, and compliance, and clean data estates enable AI and real-time analytics.
About the company
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, California
Founded
1998
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Simplify's Take
What believers are saying
- Gemini caught on: its app's monthly users rose from 400 million in May 2025 to 1 billion by August 2026.
- Cloud work is booked years ahead: Google Cloud had $514 billion of signed contracts still to deliver in June 2026.
- Stock awards gained value: Alphabet shares rose 44% in the 12 months to October 2026, versus 2% for Microsoft.
What critics are saying
- Cloud is still third: Google held 15% market share in the June 2026 quarter, behind Amazon's 28% and Microsoft's 20%.
- AI spending outruns cash: Alphabet spent $44.9 billion on equipment in the June 2026 quarter, more than operations generated.
- AI leadership is turning over: in August 2026, Demis Hassabis handed off running Google DeepMind, and veteran Jeff Dean left.
What makes Google unique
- Consumer apps earn most profit: Google Services made $39.5 billion operating profit in the June 2026 quarter, 4.5 times Cloud.
- Rivals rent its homemade AI chips: Claude maker Anthropic agreed in October 2025 to use up to 1 million TPUs.
- Android dominates mobile browsing: it had 69% of global mobile web use in September 2026, versus 31% for iPhones.
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Benefits
- Hybrid Work Options
- Remote Work Options
- Performance Bonus
- Company Equity