EMEA AI Partner Growth & Co-Sell Lead

EMEA AI Partner Growth & Co-Sell Lead

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Google

At a Glance

  • Tasks: Drive partner growth and co-sell strategies for Google Cloud services.
  • Company: Join Google Cloud, a leader in innovative technology solutions.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with potential for significant career advancement.
  • Why this job: Be at the forefront of AI and cloud technology, making a real impact.
  • Qualifications: Experience in partner development and strong collaboration skills required.

The predicted salary is between 70000 - 90000 £ per year.

Google Cloud is seeking a Strategic Partner Development Manager to recruit and accelerate partner adoption of Google Cloud services. You will work across Product Management, Engineering, Marketing and Sales to secure executive alignment, develop a co-innovation plan, and orchestrate the co-sell motion between Google Cloud and partner sales organizations.

You will coordinate capacity planning for Forward Deployed Engineers, support partner teams in enterprise accounts, and synthesize field.

EMEA AI Partner Growth & Co-Sell Lead employer: Google

Google is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its employees. With a strong commitment to professional development, team members have access to numerous growth opportunities and resources to enhance their skills. Working remotely in the UK allows for a flexible work-life balance while being part of a globally recognised leader in technology.

Google

Contact Details:

Google Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land EMEA AI Partner Growth & Co-Sell Lead

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We think you need these skills to ace EMEA AI Partner Growth & Co-Sell Lead

Strategic Partner Development
Partner Adoption
Product Management
Engineering Collaboration
Marketing Coordination
Sales Alignment
Co-Innovation Planning

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Google, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Google

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Google’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.