SLSQ426R414
Databricks is looking for an experienced Outbound Sales Development Manager. You will be an important contributor to our sales leadership team, leading recruiting, pipeline generation strategy and constructive coaching for our Business Development Representatives (BDRs). The ideal candidate will have experience driving pipeline generation, leading sales development teams and working cross-functionally with sales and marketing teams.
The impact you will have:
- Manage, develop, and hire a team of outbound Business Development Representatives
- Work with Sales, Demand Gen, and Marketing leadership to ensure the success of campaigns, while providing constructive input to develop new campaigns
- Develop relationships with Sales segments to ensure positive working relationships and maximize the effectiveness of sales development
- Help create a place where people love coming to work by maintaining a high level of enthusiasm
- Enable Business Development Representatives to translate complex technical concepts into business value
- Standardize and optimize outbound workflows, ensuring the team operates with high efficiency and maintains a rigorous "cadence of accountability" through CRM hygiene and process discipline
- Proactively monitor the health of the outbound funnel. You won't just report on the numbers; you will use data to diagnose bottlenecks in the lead-to-opportunity lifecycle and architect creative solutions to fix them
- Contribute to the "playbook" by identifying repeatable patterns of success, allowing the sales development organization to scale predictably as Databricks continues its rapid growth
What we look for:
- 2+ years of overall sales experience (e.g. AE), including at least 1 year managing an outbound sales development team in a SaaS environment
- Experience managing outbound pipeline generation motions
- A passion for coaching and developing talent
- Highly data-driven: constant optimization of activities and outputs
- Expertise with Salesforce and Outreach
- Demonstrated success using AI to improve work streams and operating efficiency
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 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 anticipates 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.
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.
Skills Required
- 2+ years of experience as an Outbound SDR manager in SaaS
- 2+ years of experience in sales
- Experience managing outbound pipeline generation motions
- A passion for coaching and developing talent
- Highly data-driven: constant optimization of activities and outputs
- Expertise with Salesforce and Outreach
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
-
Equity Value & Accessibility — Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
-
Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
-
Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
