Humberger Nav
mployee.me logo
LinkedinPosted on 2026-06-12
Databricks Logo

Strategic Account Executive, Gaming

Databricks

San Francisco, CAFull time5-10 yearsNot Disclosed

We do not know your resume yet

Upload your resume to unlock your actual match score and identify important JD keywords before applying.

Recruiters may search these ATS Keywords in your resume

17+Important JD
Keywords
aisansaassalecloudsparkbig datapipeline + 9 more

Job Description

SLSQ326R92

As an Strategic Account Executive in Databricks' Gaming vertical, you are an enterprise sales professional experienced in selling to Enterprise accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.

You will report to the Director of Enterprise Sales.

The Impact You Will Have

  • Present a territory plan within first 90 days
  • Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
  • Close both new accounts and existing accounts
  • Identify and close quick, small wins while managing longer, complex sales cycles
  • Exceed activity, pipeline, and revenue targets
  • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
  • Use a solution-based approach to selling and creating value for customers
  • Promote Databricks' enterprise cloud data platform powered by Apache Spark
  • Ensure 100% satisfaction among all customers
  • Prioritize opportunities and applying appropriate resources
  • Build a plan for success internally at Databricks and externally with your accounts.

What We Look For

  • You have previously worked in an early stage company and you know how to navigate and be successful
  • Field sales experience within big data, Cloud, and SaaS sales
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
  • Success closing new accounts while working existing accounts
  • Understanding of Spark and big data preferable
  • Bachelor's Degree

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$311,600—$428,450 USD

Zone 2 Pay Range

$311,600—$428,450 USD

Zone 3 Pay Range

$311,600—$428,450 USD

Zone 4 Pay Range

$311,600—$428,450 USD

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 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.

About The Company

Databricks

Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with 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. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

Company Size5000-10000
HeadquartersSan Francisco, CA
IndustrySoftware Development
TypePrivately Held
SpecialitiesApache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, and AI/ML Ops

How to Apply Better for This Job

This section explains the correct next step without forcing sign-in immediately.

1

Check ATS score before applying

Scan your resume for ATS readability, formatting issues, missing sections, weak keywords, and content gaps.

2

Customize your resume for this JD

Match your resume with the job description and add ai , san , saas , sale , cloud , keywords where they fit naturally.

3

Find similar jobs too

Do not depend on one opening. Use your resume to find similar frontend jobs across relevant job platforms.

Ready with your customized resume?

Once your resume includes the right skills and is ATS-friendly, you can apply directly on the source platform.

Apply on Linkedin

Market Insights:Best Account Executive Jobs in India

Find the latest Account Executive jobs across top Indian cities. Compare job counts by location and apply where hiring demand is higher.

40+ATS and HR-based resume checks available through ResuScan
8L+Jobs available through Job Match Pro for users looking for relevant jobs
206K+Resume keyword scans completed through Resume Keywords by Mployee.me
Apply with a custom resume