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SLSQ226R759
Do you 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 Global Account Manager for one of the largest pharmaceutical and biotechnology organisations, you will be responsible for driving the strategic relationship across regions. You will ensure the successful adoption and expansion of Databricks solutions within their global operations. You will work closely with their key stakeholders to understand business needs and challenges and leverage Databricks' technology to deliver impactful solutions. You will bring an informed and compelling point of view on Big Data, Advanced Analytics, and AI, shaping and owning account strategy to guide customers towards enterprise wide transformation using the Databricks Data Intelligence Platform.
The impact you will have
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Develop and execute a strategic account plan aligned to customer business objectives, industry dynamics, and Databricks’ growth goals
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Build and maintain trusted relationships with senior decision-makers, including C-level executives
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Provide industry insight and commercial creativity to design differentiated data and AI use cases that resonate
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Identify, qualify, and pursue new business opportunities within existing and new business units and brands, expanding Databricks’ presence and influence across technical and business audiences.
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Co-develop and deliver a business plan with internal teams and ecosystem partners that accelerates customer success along with long term strategic business objectives which are aligned with the customer.
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Lead and motivate a virtual team of sales, solutions engineering, customer success, and partners to execute against your account strategy
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Collaborate closely with cloud partners (AWS, Azure, Google Cloud) and GSIs to drive co-sell motions and scale adoption
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Serve as the primary executive point of contact globally, ensuring high customer satisfaction and guiding successful commercial negotiations across multiple stakeholders
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Stay well informed on industry trends, regulatory considerations, and data and AI innovation to influence both customer strategy and Databricks’ positioning
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Drive revenue growth by meeting and exceeding client expectations & internal KPIs.
What we look for
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Proven experience in a global account management role, leading a large cross functional global team, within the technology industry
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Consistent quota over-achievement, particularly in complex, multi-stakeholder sales environments
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Experience driving adoption of usage-based, consumption-led models, including land-and-expand strategies
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Proven experience selling enterprise software platforms to large, complex organisations
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Strong ownership of executive-level client relationships and the ability to operate credibly at C-suite level
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Demonstrated track record of developing new business and driving significant account growth
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Experience working with large, complex, and regulated enterprises
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Solid understanding of the Data & AI landscape with prior technology or SaaS sales experience
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Successful co-selling experience with AWS, Azure, and Google Cloud teams
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Ability to co-develop business cases, articulate value, and gain sponsorship from C-level executives
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Strong experience in enterprise sales methodologies and processes (e.g. territory and account planning, MEDDPICC, Challenger, Command of the Message)
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Experience building and scaling partner ecosystems to support execution of your territory and account plans
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Willingness to travel as needed to meet with client stakeholders
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total / year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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