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Principal Demand Generation Manager

Databricks

Principal Demand Generation Manager

Databricks

United States

·

On-site

·

Full-time

·

2w ago

Compensation

$192,400 - $264,550

Benefits & Perks

Equity

Healthcare

401(k)

Equity

Healthcare

401k

Required Skills

Demand Generation

Campaign Management

Data Analysis

Budget Management

Stakeholder Management

MKTQ227R22

Reporting to the Senior Director of Demand Generation, this role is responsible for uniting cross-functional stakeholders to develop and execute the biannual, strategic, and integrated Demand Generation and Field Marketing plan. You’ll act as a central connecting point between go-to-market teams—ensuring we align with the company's overarching priorities and deliver measurable growth.

The impact you will have:

  • Strategic Alignment: Lead collaboration across Demand Generation, Partner Marketing, Field Marketing, and other key leaders to articulate how integrated half-year plans roll up to company goals, securing executive alignment and approval.

  • Business Driver/SME: Informs and champions transformational operational excellence: A strong, scalable, operating rhythm that drives accountability, transparency, and measurability throughout the campaign development process.

  • Data-Driven Insights: Synthesize complex data and insights to guide executive decision-making and strategic adjustments.

  • Forward Thinking: Advocates and prioritizes a roadmap, asks about the future of integrated campaign development, and identifies and prioritizes high-impact projects to help scale the organization effectively.

What we look for:

  • 7+ years of professional experience, of which 5+ years of experience are in demand generation in a high-growth SaaS startup.

  • Strong communication and stakeholder management skills; skilled at influencing across senior levels.

  • Proven ability to build operational frameworks, manage budgets, and drive cross-functional alignment.

  • Comfort working in dynamic, fast-paced environments and managing competing priorities.

  • Analytical mindset with proficiency in data-driven decision-making and campaign performance analysis.

  • Past experience working on integrated campaigns with expertise in end-to-end campaign development, execution, and measurement.

  • Prioritize and achieve in an environment that requires fresh thinking and new ideas. Strong growth mindset, having an open mind to new ideas and growth opportunities.

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**$192,400—$264,550 USDZone 2 Pay Range$173,200—$238,150 USDZone 3 Pay Range$163,500—$224,850 USDZone 4 Pay Range$153,900—$211,650 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, 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

Databricks

Series I

Databricks, 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

Director

Mid/L4 · Global Mobility Operations Manager

2 reports

$149,582

total / year

Base

$130,071

Stock

-

Bonus

-

$144,210

$154,953

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