Sales Strategy & Execution Lead, SEMEA

Neon; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Databricks is seeking a Sales Strategy & Execution Manager to partner with the SEMEA leadership team and shape the GTM strategy across the region. You will conduct in-depth analyses, build scalable tools, and own forecasting, territory planning, and productivity modelling to drive growth.

You will work cross-functionally with global stakeholders, solve data challenges, and translate complex datasets into actionable guidance.

Qualifications

• Strong experience in sales strategy, management consulting, and/or business development.
• Strong analytical/tools skills required, e.g. Spreadsheet/Excel, Salesforce, SQL.
• Proficiency in one or several AI tools (e.g. Genie, Claude, Gemini, ChatGPT).
• Ability to work independently in a fast-paced environment.
• Excellent communication and presentation skills; collaborative and data-driven approach.

Responsibilities

• Directly serve as the Strategy partner for the VP SEMEA & their leadership team.
• Independently own analysis with large datasets to gather insights & guide investment and growth.
• Own all reporting, forecasting, territory planning, and quota/productivity modelling.
• Work cross-functionally and globally with internal stakeholders, identify optimisation opportunities, and resolve business and data challenges.
• Support SEMEA and global initiatives to ensure alignment and best practices.

Skills

Sales strategy

Management consulting

Business development

Analytical thinking

Independent work

Communication skills

Tools

Spreadsheet/Excel

Salesforce

SQL

Genie

Claude

Gemini

ChatGPT

Job description

Databricks is seeking a Sales Strategy & Execution Manager to partner with the SEMEA leadership team and shape the GTM strategy across the region. You will conduct in-depth analyses, build scalable tools, and own forecasting, territory planning, and productivity modelling to drive growth.

You will work cross-functionally with global stakeholders, solve data challenges, and translate complex datasets into actionable guidance.