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Data & Analytics

Director, Sales Development

Chicago, Illinois, United StatesFull TimeDirector$146,600–$201,500 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Databricks is seeking a Director, Sales Development to lead and scale their Sales Development (BDR) team. This critical leadership role involves building and executing the Sales Development strategy to drive net new account activation and revenue expansion within enterprise segments. The Director will partner closely with Sales, Marketing, and Field Engineering teams to develop innovative pipeline generation approaches leveraging data intelligence. Key responsibilities include managing talent development, recruiting, hiring, onboarding, and training BDRs, and optimizing team performance through advanced analytics. The ideal candidate has a proven track record in building and scaling high-performing sales development teams in complex SaaS environments, deep expertise in sales development methodologies, and advanced proficiency with sales technology stacks like Salesforce and Outreach. This role requires strong strategic planning, execution capabilities, and exceptional leadership skills to inspire and develop sales talent.

SLSQ227R540

Director, Sales Development at Databricks (AMER)

We are looking for a Director, Sales Development to join our world-class, hyper-growth organization. In this critical leadership role, you will help build, lead and execute the Sales Development strategy and partner with the Sales and Field Engineering teams to penetrate new accounts and grow existing customer accounts. You will also own the talent development framework to recruit, hire, onboard, and train top Sales Development talent of today to transform them into the Databricks AEs of tomorrow. You will lead and transform a high-performing Sales Development team, driving strategic pipeline generation, establishing cross-functional collaboration, and positioning our sales development function as a key new account activation and revenue acceleration engine.

The Impact You Will Have

  • Lead, build, develop, and scale a high-performance Sales Development (BDR) team that prospects to support the net new account activation of greenfield accounts and the pipeline generation/revenue expansion of customer accounts in Databricks' Enterprise segments
  • Drive and deliver results aligned with comprehensive Sales Development strategy and business objectives
  • Develop and implement innovative pipeline generation approaches that leverage data intelligence and market insights
  • Establish cross-functional partnerships with Sales, Marketing, Field Engineering, Partner, Sales Programs and Sales Strategy/Ops leadership to create integrated go-to-market strategies
  • Leverage advanced analytics to optimize Sales Development team performance, productivity, and effectiveness
  • Work closely with Sales, Demand Generation, and Marketing leadership to ensure the success of campaigns, while providing constructive input to develop new campaigns.
  • Develop strong relationships with Sales cross-functionally to ensure positive working relationships and maximize the impact and effectiveness of sales development.
  • Efficiently and effectively understand the Data Analytics industry and specifically coach the Databricks Pitch and Mission statement.
  • Help create a fun culture, where people love coming to work by maintaining a high level of enthusiasm.
  • What We Look For

  • 3-4+ years of experience in second line management, hiring, training, coaching and developing Managers
  • Proven track record of building and scaling high-performing sales development teams in complex, matrixed organizational structures (in SaaS or other technology environments)
  • Experience building and scaling a top performing team by recruiting and developing Business Development Representatives (BDRs)
  • Experience building scalable business processes at a high-growth, fast paced environment ideally using AI/agents aligned with overall Company GTM
  • Metrics- and data-driven, with a history of performing above team quota.
  • Deep expertise in building and scaling enterprise sales development methodologies and pipeline generation strategies
  • Demonstrated success in developing and implementing data-driven sales enablement programs
  • Exceptional leadership skills with ability to inspire, coach, and develop sales talent
  • Advanced proficiency with sales technology stack, including Salesforce, Outreach, and other advanced sales intelligence platforms
  • Strong strategic planning and execution capabilities
  • Ability to travel extensively throughout the US, Canada or LatAm
  • Leadership Capabilities

  • Strategic vision for sales development's role in driving revenue growth
  • Ability to translate complex business strategies into actionable plans
  • Ability to lead through change management
  • Exceptional problem solving, process and critical thinking, communication and interpersonal skills
  • Proven ability to lead through influence and collaboration
  • Data-driven decision-making approach with strong analytical capabilities
  • 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.

    Zone 2 Pay Range
    $146,600$201,500 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.BenefitsAt 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.

    Sample Databricks interview questions

    • 1

      What trends do you anticipate in account management?

      technicalmedium
    • 2

      What would you do if a buyer said they wanted to go with Snowflake instead

      case studyaverage
    • 3

      What is your strategy for Sales Development Representatives (SDRs)?

      strategydifficult
    • 4

      Monte uma apresentação sobre determinado cliente.

      executiondifficult
    • 5

      How do you handle customer objections to using your paper?

      case studyaverage

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