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United States Digital Space LLC is seeking a Field Engineering Manager to lead a team of pre-sales Solutions Architects and Solutions Engineers across Paris/London markets with a strong focus on data, AI, and cloud solutions.
You will coach sales and pre-sales teams to win by communicating business value, shaping complex deals, and building strategic partnerships with key customers and partners in large enterprises.
As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers across the Qatar & Africa markets. Your experience partnering with the sales organisation will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together.
You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations.
The impact you will have:
What we look for:
Note: Location for the role is either Paris or London (i.e. within commutable distance).
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the company 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 the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.
**Benefits
**At the company, 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.
At the company, 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 the company 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.