What is the type of contract for this position?

The contract for this position is a Full-time contract

What's the salary range for the Product Marketing Manager, Data Engineering position?

The suggested salary for this position is $150,000-$185,900*

Is telecommuting possible for this position?

Yes, telecommuting is possible for this position

Product Marketing Manager job at Databricks

The Databricks Lakehouse Platform unifies all your data, analytics, and AI on one platform. Data engineering is one of the fastest growing workloads within the Databricks Lakehouse Platform. Databricks helps data engineers build streaming pipelines and applications faster, simplify operations with automated tooling and low ETL/TCO, and unify governance and sharing for all your real time and historical data.

Databricks has an exciting new product marketing role to lead Data Engineering on the Lakehouse go-to-market including product launches, sales enablement, customer stories, core 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 engineers to accelerate data engineering solutions. 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 technologies, this role is made for you.

The impact you will have:

Develop our go-to-market strategy for how Databricks will uniquely approach product marketing for data engineering on the lakehouse.
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 an always on pipeline of customer evidence to showcase how Databricks Workflows and Delta Live Tables help our customers simplify ingestion, transformation, and orchestration of batch and streaming data to drive better business outcomes.
Build trust with enterprises and digital natives by publishing new, impactful data streaming customer stories in the first year.
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.
Collaborate with our PMM team on 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.
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.

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, customer evidence and a history of creating successful marketing programs.
Experience with cloud is a must.
Experience in data engineering, 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.

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

#LI-Remote

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% 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.

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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Product Marketing Manager, Data Engineering

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