Data Cloud Partner Specialist, Google Cloud

On-site in London·Added yesterday (last checked 22 Oct)

Google

296 open roles

Apply

Overview

Skills

Requirements

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
10 years of experience promoting IT business solutions and executing a territory sales strategy.
Experience identifying and managing use cases to solve customer issues.
Experience partnering with technical staff to build business cases and implementation plans.

Preferred qualifications:

Partnership experience with solutions providers, system integrators, or managed service providers.
Experience presenting to senior-level audiences, including experience presenting at customer, partner, or industry events.
Domain expertise with technology implementations for customers.
Expertise with consumption business models, cloud economics, and partner agreement constructs.
Deep understanding of the Data Cloud and Data and Analytics landscape, including concepts such as data warehousing, data lakes, business intelligence, machine learning, Vertex AI, AI, and big data technologies.
Excellent written, communication, and presentation skills.

The role

In this role, you will join our growing team. This critical role is centered on generating new business through strategic partners, accelerating existing customer pursuits, and fostering collaboration with our Data Cloud Sales organization. You will be a key player in expanding our market presence, ensuring partners are equipped to effectively position, promote, and accelerate our Data Cloud solutions.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: €172000 - €176000 (EUR) + 66.67% bonus target + equity + benefits
Spain: €154000 - €157000 (EUR) + 66.67% bonus target + equity + benefits
Netherlands: €182000 - €186000 (EUR) + 66.67% bonus target + equity + benefits

Learn more about benefits at Google. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland; Munich, Germany; Madrid, Spain; Amsterdam, Netherlands.

Responsibilities

Drive Data Cloud with Partner Strategies to achieve optimal Data for AI customer value in collaboration with Regional Data sales and engineering sales teams.
Develop and execute engaged takeout strategies leveraging the partner ecosystem to displace incumbent solutions, highlighting our unique differentiators and partner-led advantages.
Drive Incremental Upsell and Cross-Sell Data Cloud Business with Partners.
Enhance Partner Attach Data Cloud Growth across Pre and Post-Close opportunities
Track, analyze, and report on key performance indicators (KPIs) related to partner-driven business, pipeline, and enablement activities.

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.