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AI Sales Specialist, Google Cloud, GTM
Benefits and perks
•Remote Work
•Learning Budget
•Parental Leave
•Healthcare
Required skills
Python
PyTorch
Airflow
About the job
As an AI Sales Specialist, you will be responsible for building and expanding relationships with new and existing customers. You will develop relationships with external customer stakeholders, identifying ways to multiply the impact of the team. You will partner with internal Google Cloud Platform (GCP) business teams to assist with business growth.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 Deep Mind'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.
Responsibilities
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Build relationships with customers as a subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and influencing long-term direction of accounts.
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Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting your territory’s business.
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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.
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Develop and execute account plans informed by our responsible AI framework across an assigned territory or market.
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Work with multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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10 years of experience in a sales role in the enterprise software, cloud space, or AI space.
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Experience in partnering with technical staff to build business cases and implementation plans.
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Experience in business development, sales, or account management guiding customer adoption of solutions and delivering business growth in AI or a related technology field.
Preferred qualifications
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Experience in promoting the AI technology stack.
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Experience working with and managing partners in implementation projects including global system integrators and packaged software vendors.
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Experience working with product teams with an understanding of how to embed our technology into their product set.
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Ability to connect AI/ML with business value and engage executive stakeholders as an advisor and thought leader.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
10 reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Junior/L3
Mid/L4
Junior/L3 · Account Manager
955 reports
$235,140
total per year
Base
$138,750
Stock
$55,227
Bonus
$41,164
$148,728
$383,799
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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