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P-116
At Databricks our mission is to democratize data and AI. We are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure and making it accessible for companies of any size to easily self-serve the platform capabilities to derive data insights and accelerate decision-making.
If building a ground-up PLG motion excites you then this role is for you. As a Principal Growth Marketing Manager, you will collaborate with Marketing, Product and Data Science teams to develop and manage the customer acquisition, activation and retention funnels. You will designing and launching growth experiments that help Databricks customers quickly unlock value through a self-serve platform. This is a builder role and is for anyone who is looking to build out a new sales motion.
The impact you will have:
- Own the Metric: Define and own the Growth OKRs. Collaborate with cross functional teams within Marketing and across product teams to deliver against these OKRs.
- Growth funnel Optimization: Define the growth funnel by user/account lifecycle stage and analyze drop-off points. Leverage feedback from customers and field to gain insights into reasons for drop offs and introduce experiments to improve the funnel metrics.
- User Activation: Design and execute strategies to drive high quality paid and organic traffic to trial sign-ups and convert them into active, engaged users.
- Onboarding Journey: Collaborate with the product team to develop seamless and intuitive onboarding experiences that help users to quickly realize value.
- Value Expansion: Develop strategies to drive product adoption and leverage data science models to trigger the next best action expanding Databricks value for our customers.
- Nurture: Partner with email, web and paid media nurture campaigns to engage users and drive them back into the product.
- Experimentation: Collaborate with the analytics team to test and iterate on growth strategies, using A/B testing, user feedback and attribution model to improve outcomes.
- Content optimization: Build visibility into content performance and work closely with product and technical marketers to iterate and deliver a personalized experience.
What we look for:
- 5+ years of experience building and scaling growth marketing for a B2B enterprise SaaS software company.
- Strong understanding of funnel metrics and levers, including testing and optimization, to generate and accelerate growth.
- Capacity to generate insights from data and translate it into actionable changes.
- Strong understanding of experimentation design principles and experience executing and evaluating growth experiments.
- Solid understanding of marketing channels, performance metrics and channel specific tactics to drive growth across the user journey.
- Familiarity with marketing tech stack (e.g. marketing automation platforms, email service providers, content management systems, etc.)
- Experience with content marketing and standing up content as a foundational pillar.
- Experience with communications, and project management to drive strategic alignment and execution across stakeholders at all levels.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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
$145,300—$257,200 USD
Zone 2 Pay Range
$130,800—$231,400 USD
Zone 3 Pay Range
$123,500—$218,600 USD
Zone 4 Pay Range
$116,300—$205,800 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.
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.
