Strategic Enterprise Account Executive, Media
Databricks is hiring a Strategic Enterprise Account Executive, Media in Paris, France. Level rates it ; you can apply on Databricks.
Level's read on this job
- Level rates this sales role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions AWS, Azure and Google Cloud among its tools and skills.
- Level classes it as a senior role.
- Databricks has 894 other open roles on Level.
- Posted within the past week.
AI in this role
Drive enterprise software sales and adoption of big data and AI solutions within major media organizations.
SLSQ427R974
Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks.
As a Strategic Enterprise Account Executive, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers within the Media segment in France.
The impact you will have:
- You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Media segment.
- You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunities and enables you to exceed quarterly/annual usage and booking goals
- You will motivate a diverse team of big data and AI professionals to implement your business plan
- You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform
- You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement
- You will build exceptional value with all engagements to guide successful negotiations to close
What we look for:
- Experience in direct sales of enterprise software platforms to large enterprises
- Ownership of executive level relationships in your clients
- Extensive experience of working with large complex regulated organisations
- Knowledge of the Data & AI space with technology sales experience
- Longevity with previous employers
- Quota over-achievement and significant growth when selling complex software and services to Enterprise accounts
- Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams
- Methods for co-developing business cases and gaining support from C-level Executives
- Familiarity with sales methodologies and process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message)
- Experience developing partnerships with "champions" and client teams to support execution of your territory plan
- Experience developing a clear partner strategy and implement it to achieve success
- Understanding of consumption-based, land and expand sales models advantageous
- Understanding of how to identify important uses cases and buying centres to increase the impact of Databricks for clients
- Fluent French and business English
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, X, YouTube, and Instagram.
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.
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.
How we rate this
Strategic Enterprise Account Executive, Media at Databricks rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in sales jobs at this level
Pay
- Typical sales job
- $140k
This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs
Questions you could be asked
- What's a project where you used AWS hands-on?
- Walk me through how you've used Azure in your day-to-day work.
- What are the limits of Google Cloud that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AWS, Azure, and Google Cloud. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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