AI Sales Specialist, Public Sector

On-site in London·Added 25 days ago

Google

168 open roles

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Overview

Requirements

Work on-site in London
No relocation package mentioned.
Have 10+ years of experience
Senior-level role.

Skills

Requirements

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
10 years of experience in a sales role in the enterprise software, cloud space, or AI space.
Experience in partnering with technical staff to build business cases and implementation plans.
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:

Experience working with and managing partners in complex implementation projects including global system integrators and packaged software vendors.
Experience in promoting the AI technology stack.
Experience working with product teams and an understanding of how to embed our technology into their product set.
Ability to drive business growth across a broad set of industry-specific AI/ML use cases.
Ability to connect AI/ML with business value and engage executive stakeholders as an advisor and thought leader.

The role

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) Sales 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 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.

Responsibilities

Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term 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, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
Develop and execute strategic 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 footprint and strategy, growth plans, business drivers, and how they can transform their business using our technologies.

Hiring process

4 steps3 interviewsa task to do6–8 weeks in all

Apply online
Assessments
Online test · Not every role
You may be asked to take the Google Hiring Assessment (workstyle skills) and, for some roles, role-related assessments such as a coding exercise.
Recruiter conversations
With a recruiter · Phone call · 1–2 sessions
One or two shorter conversations assessing key skills, sharing information about the organisation and team, and asking about your preferences such as location.
Project work
In your own time · Not every role
For some roles, a small project before interviews: a case study, writing or code samples.
Interviews
With a rotating cast of Googlers
A panel of structured interviews, over video or in person, with a rotating cast of Googlers; open-ended role-related questions scored against the same rubric for every candidate, no brainteasers.
Decision and offer · With a recruiter

Structured interviews: every candidate for a role is scored against the same rubric; no brainteasers.
AI tools are not permitted during interviews.
For some roles, pre-selected interviews happen virtually before final interviews onsite.