Contact Center AI Sales Specialist III, ISV, Google Cloud

Minimum qualifications:

• Bachelor's Degree or equivalent practical experience.
  
• 10 years of experience in a business role in the enterprise software, cloud or Artificial Intelligence (AI) space.
• Experience in identifying Contact Center as a Service (CCaaS) use cases to solve customer tests or promoting Customer Experience or Artificial Intelligence (AI) technology to clients.
• Experience in supporting ISVs or startups.
• Ability to travel up to 50% of the time.

Preferred qualifications:

• Experience in carrying and exceeding business goals in business roles.
• Experience prioritizing, planning, and organizing business activity within business cycles, including qualifying accounts and leveraging partner ecosystems.
• Experience working with internal/external teams to inventory existing software estates, build cases for transformation with implementation plans, and close agreements.
• Experience with Contact Center technologies (e.g., Avaya, Genesys, Cisco, Mitel, Twilio) and promoting CCAI and GenAI/AI technology stacks.
• Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption, and expansion.
• Knowledge of market trends, products, and solutions in Cloud, Artificial Intelligence (AI), and Customer Experience.

About the job

In this role, you will help us grow our Contact Center AI (CCAI) and Contact Center as a Service (CCaaS) business by building and expanding relationships with new and existing customers. You will direct day-to-day relationships with cross-functional team members and external customers, leading with empathy, while identifying ways to multiply the impact of the team to motivate value for Google Cloud. You will partner with internal Google Cloud business teams to grow our Customer Experience businesses, including expansion agreements and working with product teams to help our customers build new products leveraging our Artificial Intelligence (AI).
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.

The US base salary range for this full-time position is $129,000-$194,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US 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 the Customer Experience and Contact Center AI (CCAI) subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and collaborating direction of accounts.
• Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting your 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, motivate pipeline and business growth, close agreements, understand customer, and provide excellent prospect and customer experience.
• Assist customers in identifying CCAI and Artificial Intelligence/Generative AI (AI/GenAI) use cases suitable for Google Cloud AI products and solutions. Articulate solution differentiators and the measurable business impact.