Principal Product Marketing Manager, Modern Data Engineering

Databricks

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

The Databricks Lakehouse Platform unifies analytics, data engineering, machine learning, and streaming workloads on one simple data platform. Data engineering is one of the most business critical workloads for data teams within the Lakehouse Platform. Data engineering enables data teams to unify batch and streaming operations on a simplified architecture, streamline data pipeline development and testing, build reliable data, analytics, and AI workflows on any cloud platform, and meet regulatory requirements to maintain world-class governance. The Lakehouse provides an end-to-end data engineering and ETL platform that automates the complexity of building and maintaining pipelines and running ETL workloads so data engineers and analysts can focus on quality and reliability to drive valuable insights.

The Databricks Data & Analytics Product Marketing team has an exciting new product marketing role to lead the Data Engineering on the Lakehouse go-to-market including product launches, core messaging, web strategy, marketing campaigns, event content, and sales play. You will report to the Senior Director of Product Marketing to develop the marketing strategy for how Databricks can uniquely empower data engineers and data analysts to streamline data ingestion, automate data transformation and processing, and easily orchestrate pipelines. You'll develop the inaugural marketing strategy for how Databricks will uniquely approach product marketing for data engineering on the lakehouse. You will work closely with all teams within the Marketing organization, engineering and technical sales teams to promote adoption of Databricks and the data engineering technologies that underpin the platform. If you're a builder passionate about data engineering and ETL technologies, this role is made for you.

The impact you will have:

  • Define and own the value proposition, messaging, and collateral for data engineering on the lakehouse and land it across our global channels – including web, field, partners and events.
  • Create an always-on go-to-market plan, and pilot new programs with a strong focus on winning mindshare to increase awareness (e.g. registrations, downloads, views), demand ($ pipeline) and product adoption (usage) of our platform.
  • Build a strong and collaborative partnership with our engineering team to create a regular rhythm of landing product news and deliver high impact announcements across the portfolio.
  • Build a strong and collaborative partnership with our technical sales team to build a sales enablement play and collateral to promote adoption of data engineering solutions on the Lakehouse.
  • Build trust with enterprises and digital natives by publishing new, impactful data streaming customer stories in the first year.

What we look for:

  • 3-5 years of experience in product marketing or solution marketing for an enterprise software or SaaS company.
  • Portfolio of impactful marketing content, sales enablement materials and a history of creating successful marketing programs.
  • Experience with cloud is a must and experience with data engineering/ETL is preferred.
  • Experience in data platforms and modern data stack 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.

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

COVID-19 Vaccination Requirement

As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.

About Databricks

Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. 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.

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