Req ID MKTQ125R22
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
The Senior Manager, Growth Marketing is a critical role on the Growth Marketing team that will own and optimize lifecycle communications to better engage, retain, and grow customers and users through their journey with Databricks. In this role, you’ll closely work with the product team to develop best-in-class nurture experiences and capabilities to drive account and user engagement.
The impact you will have:
- Establish best-in-class nurture programs to onboard and engage users in a product led growth motion driving increase in trial conversions and retention
- Collaborate closely with the product team to ensure that new users get to the Aha! moment quickly through compelling and timely content that educates users
- Create testing and optimization frameworks to creatively explore and test new product experiences, messages, content and offers; Drive continuous improvement through a consistent testing strategy while iterating quickly to optimize across all Nurture metrics and sharing insights and best practices for cross-functional teams to leverage
- Deepen our understanding of customer behavior, identify patterns in their behavior and interactions across nurture touchpoints, and leverage those insights to refine the product experience and deepen our engagement across touchpoints
- Leverage industry best practices to guide creative development of nurture templates and landing pages; Serve as the subject matter expert to help the team learn how to incorporate best practices into all planning, decisions and execution – from creative to segmentation to deliverability
- Manage KPIs, own campaign performance, and use data and insights to build and refine personalized experiences
What we look for:
- 7+ years of professional experience, of which 5+ years experience in demand generation in a high growth SaaS startup.
- Experience working closely with the product team to improve customer onboarding experience
- Expertise in building high performing and scalable email and cross-channel nurture programs, with deep understanding of nurture best practices, metrics & optimization tactics
- Experience with experimentation and comfort with data analysis and/or working with analysts to measure program impact
- Fluent in interpreting data, creating alignment around actionable insights and translating it into applicable changes
- Established track record of bringing customer data, segments, channel, creative, content, and offers together to drive needed business outcomes via lifecycle / nurture strategies
- Expert in end-to-end campaign development, execution, and measurement, specifically working with Marketing operations in the set up, execution and optimization of nurture programs
- Strong project management skills to effectively deliver complex programs working across multiple teams
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
$120,700—$213,600 USD
Zone 2 Pay Range
$108,600—$192,300 USD
Zone 3 Pay Range
$102,600—$181,600 USD
Zone 4 Pay Range
$96,500—$170,900 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.
Top Skills
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.