Strategic Enterprise Account Executive - Financial Services
Databricks · New York City, NY
- Base
- Not disclosed
- OTE
- $312K–$428K
- Posted
- 1mo ago
The Braun Read
Worth a lookSolid on the basics. Use the first call to fill in the gaps.
- Pay
- OTE is listed. Ask what the base is.
- Transparency
- Says nothing about quota, attainment, deal size, territory or sales cycle.
- Pipeline
- A mix of self-sourced pipeline and inbound or SDR help.
- Time on market
- Open 38 days. Normal, but not fresh.
- Company hiring
- Ramping up: posted 11 sales roles in the last 30 days. That many open roles can also mean churn. Ask how many reps are still there from last year.
Red flags
None spotted.
Green flags
- Publishes OTE. It tells you the on-target earnings up front. Most postings don't.
- Pays accelerators. Higher commission rates once you pass quota. Overperformance actually pays.
Based only on what the posting says. Flags are a starting point for your first call, not a final judgment.
The role
Sell Databricks' cloud data and AI platform to large financial services institutions, working with CIOs and LOB leaders on complex, long cycles. You'll win new accounts and grow existing strategic ones.
Strategic · Mixed
Selling motion
Mixed
Who you are selling to
Enterprise
Pipeline expectations
A mix of self-sourced pipeline and inbound / SDR support.
Compensation
$312K–$428K OTE
What is not disclosed
This posting doesn't tell you:
- Base salary
- Quota size
- Quota attainment
- Average deal size
- Territory
- Sales cycle length
Worth asking about on your first call.
Full posting
SLSQ427R455
As a Strategic Enterprise Account Executive at Databricks, you are a strategic sales professional with experience selling to Financial Services 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 be asked to grow within an existing strategic financial services account. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.
The impact you will have:
- 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, or SaaS sales
- Prior customer relationships with CIOs, program managers, and essential decision makers
- Simply articulate intricate cloud technologies
- 10+ years experience exceeding sales quotas
- Expertise with financial services institutions preferable
- Success closing new accounts while working existing accounts
- Understanding of Spark and big data preferable
- Passion for cloud technologies
- 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 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.