---
title: 'Strategy & Execution Manager at Databricks'
canonical: 'https://feeny.ai/job/strategy-execution-manager-databricks-london-6apf02y715se'
type: 'job'
last_seen: '2026-10-17'
---

# Strategy & Execution Manager at Databricks

- **Company:** Databricks
- **Location:** London, United Kingdom
- **Work type:** remote
- **Posted:** 2026-10-07
- **Last confirmed live:** 2026-10-17
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8873053002

## Job description

SLSQ427R539

The Sales Strategy team works directly with Databricks’ Sales Leadership team to accelerate growth.  Our team is focused on empowering our stakeholders and senior leadership with data-driven insights & tools to shape the GTM strategy & drive operational scale in an extremely high-growth environment.

We are looking for a Sales Strategy & Execution Manager to serve as the business partner for the MEA (Middle East and Africa) leadership team under the EMEA Business Unit. This is a critical and visible position to shape the GTM Strategy of one of the fastest-growing regions at Databricks.

In this role, you will conduct in-depth analyses on the business, build scalable tools for stakeholders, and own operational cadences for the MEA team. You must be able to deal with the day-to-day operational requirements whilst never losing sight of the long-term strategy & objectives.

Alongside supporting the MEA team, you will also be involved in EMEA- and global-level initiatives. This is a core part of the role, helping ensure we maintain collaboration across the various EMEA regions and share best practices.

The ideal candidate is a self-starter with endless curiosity who can work cross-functionally to tackle complex problems end-to-end. We are looking for someone who is solution-oriented and thrives in diving deep into ambiguous data sets to derive recommendations to drive business decisions.

The impact you will have:

- Directly serve as the Strategy partner for the VP MEA & their  leadership team
- Act as the champion and challenger of the MEA 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

What we look for:

- 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)
- You have the ability to work independently in a fast-paced environment
- You have a “get it done” attitude and want to build something that lasts. Not only do you have the ability and the desire to architect the high-level strategy, but you also want to operationalise it and pay close attention to detail
- You excel in a collaborative environment and have a high degree of honesty, integrity and sound judgment.
- You have exceptional problem-solving and analytical skills. You are technical and fluent in working with large datasets.
- You have excellent spoken and written communication & presentation skills.
- French language skills are a nice-to-have

## About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

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