Principal Product Marketing Manager, Platform Marketing
Databricks
Req ID: MKTQ225R8
The Databricks Data Intelligence Platform opens up a whole new world of possibilities to democratize data and AI. For business intelligence (BI), our customers have the opportunity to deliver self-service BI, substantially expanding the types of analytics everyday users can do through an AI-first approach. Within our platform, Databricks AI/BI, is a new type of business intelligence product built to democratize insights for anyone in your organization. Powered by data intelligence, AI/BI understands your unique data and business concepts by capturing signals from across your entire Databricks platform, learning and improving to answer your questions.
Databricks is continuing to grow our product marketing organization and we have a new role to lead AI/BI go-to-market including product launches, positioning and messaging, web strategy, marketing campaigns, and event content.
You will report to the Senior Director of Product Marketing to develop the marketing strategy for how Databricks can uniquely empower data analysts and our users to accelerate intelligent analytics solutions.
You will work with all teams within the Marketing organization, engineering, and technical sales teams to promote the use of Databricks and the business intelligence technologies that underpin the platform. You will help to build our self-service BI product portfolio marketing from the ground. If you’re a builder passionate about generative AI and business intelligence, this role is made for you!
The impact you will have:
- You will develop our go-to-market strategy for how Databricks will uniquely approach product marketing for the AI/BI product line
- You will build a partnership with our engineering teams to build the product roadmap and define product strategy.
- You will create a regular rhythm of landing product news and delivering announcements across the portfolio.
- You will collaborate with our PMM team on the value proposition, messaging, and collateral for data warehousing on the lakehouse and land it across our global channels - including web, field, partners and events.
- You will create an always-on go-to-market plan and pilot new marketing programs and campaigns, focusing on winning mindshare to increase awareness (e.g., registrations, downloads, views), demand ($ pipeline) and product adoption (usage) of our platform.
- You will collaborate with our technical sales team to build a sales enablement play and collateral to promote the use of business intelligence solutions
- You will build an always-on pipeline of customer evidence to showcase how Databricks AI/BI promotes better outcomes.
- Build trust with enterprises and digital natives by publishing new, impactful data streaming customer stories in the first year.
What we look for:
- 5+ years of experience in product marketing or solution marketing for an enterprise software or SaaS company.
- Portfolio of impactful marketing content, blog posts, sales enablement materials, customer evidence, and a history of creating successful marketing programs.
- Experience with cloud is required and business intelligence and generative AI product marketing is an advantage.
- Experience in data engineering, data warehousing, data science, or analytics is an advantage.
- Experience presenting at conferences/seminars and customer engagements
- Experience marketing technical products to technical buyers.
- BS in Marketing or Computer Science, Engineering, coupled with relevant professional experience.
- BS in Marketing or Computer Science, Engineering, coupled with relevant professional experience.
Benefits
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Employee Assistance Program (EAP)
- Business travel accident insurance
- Mental wellness resources
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.
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.
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.