AI Sales Specialist, Cloud

6 hours ago

Toronto, Ontario, Canada Google Full time $138,000 - $141,000
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in a sales role in the enterprise software, cloud space, or AI space.
  • Experience identifying AI use cases to solve customer challenges or selling AI technology to clients.
  • Experience in, or supporting, the greenfield space.
  • Ability to communicate in French fluently to support client relationship management in this region.
  • Ability to travel up to 20% of the time as needed.
Preferred qualifications:
  • Experience carrying and exceeding business goals in a sales role.
  • Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.
  • Experience prioritizing, planning, and organizing solution-based business activity within business cycles, including qualifying accounts and leveraging our partner ecosystem.
  • Experience working cross functionally (including account teams, technical leads, procurement, legal to inventory existing software estate) build business cases and close agreements.
  • Knowledge of market trends, products, and solutions of Cloud and AI.
  • Excellent problem-solving, and communication skills.
About the job:
As an Artificial Intelligence (AI) Sales Specialist, you will help us grow our AI business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver business value, demonstrate product functionality, and provide an overview of key business use cases. Business cycles will include a combination of productivity use cases, as well as working with product teams to help our customers build new products leveraging our AI solutions. You will lead day-to-day relationships with cross-functional team members and external customers, leading with empathy, while identifying ways to improve the team as a whole to drive the value for Google Cloud.
It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

The Canada base salary range for this full-time position is CAD 138,000-141,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities:
  • Build relationships with customers as a subject-matter-expert and trusted advisor, managing business cycles, identifying solution use cases, and influencing direction of the accounts.
  • Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting the territory's business.
  • Work with Google accounts and cross-functional teams (e.g. Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
  • Develop and execute account plans informed by our responsible AI framework across an assigned territory or market.
  • Work with multiple customers and opportunities simultaneously, understanding each customer's technology, strategy, growth plans, business drivers, competitors, and how they can improve their business using our technologies.

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