Product Marketing Manager

Job Description

About the job
About Us

Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 30,000 companies using dbt every week, 100,000 dbt Community members, and over 4,100 dbt Cloud customers. You can learn more about our values here.

As a Product Marketing Manager at dbt Labs, you will play a pivotal role in shaping the market perception of dbt Cloud and driving awareness of the value it delivers for enterprise customers. Specifically, we are looking for people who understand the benefits of metrics consistency and empowering unique personas from across the organization to participate in the data and analytics process. This isn’t one of those PMM roles where you just take orders from the product team. If you like driving strategy, working collaboratively, and building something truly transformative within the data and analytics space, then this role is for you. This position reports to the director of product marketing.

What you’ll do:

Develop and execute marketing campaigns that clearly articulate the value and unique advantages of dbt Cloud’s various development environments that simplify and streamline data workflows.
Drive the go-to-market strategy for the dbt Semantic Layer product, working closely with product management and product marketing to identify target buyer personas, challenges, and opportunities.
Craft compelling messaging and positioning and continuously optimize to ensure it resonates with prospects and existing customers.
Create and maintain a core bill of materials including web content, messaging guides, solutions briefs, product videos, pitch decks, email sequences, and internal enablement docs for your area of subject matter expertise.
Develop and execute product launch and campaign strategies that drive pipeline for net new customer and expansion opportunities.
Create and maintain internal sales tools like playbooks and competitive battle cards that reflect a high degree of customer understanding and empathy
Work with Acquisition Marketing and Revenue Marketing teams to ensure strategic narrative and product messaging is being delivered consistently at every touchpoint
Measure and report on the effectiveness of marketing campaigns, using insights to drive continuous improvement.

You’re a good fit if you have:

7-9 years of experience in product marketing, preferably within the data analytics domain.
A proven track record of developing and executing successful marketing campaigns for technology products.
Strong understanding of the data analytics industry and its challenges, with the ability to translate complex concepts into clear, compelling messaging.
Exceptional written and verbal communication skills, with a talent for storytelling.
Experience working with cross-functional teams, demonstrating strong leadership and collaborative abilities.
Demonstrated analytical skills, with the ability to leverage data to inform marketing strategies and decisions.

You’ll have an edge if you have:

Prior experience working at an analytics, BI, Semantic Layer, and/or open source software company
Familiarity with the analytics stack, and a strong grasp of market complexities within
Experience as an end-user of dbt, and/or experience as a data analyst, data engineer, or data scientist

Compensation & Benefits:

Salary: $170,000 – $200,000
Equity Stake
Benefits – dbt Labs offers:
Unlimited vacation (and yes, we use it!)
Excellent healthcare
Paid Parental Leave
Wellness stipend
Home office stipend, and more!
What to expect in the hiring process (all interviews will be conducted via Zoom):

Interview with a Talent Acquisition Partner to align on the role and the skills and experiences we mutually value
Interview with Hiring Manager
Team Interviews (1:1s) with members of the Marketing and Product teams

Who We Are

At dbt Labs, we have developed strong opinions on how companies should practice analytics.

Specifically, we believe that:

Code, not graphical user interfaces, is the best abstraction to express complex analytic logic
Data analysts should adopt similar practices and tools to software developers
Critical analytics infrastructure should be controlled by its users as open source software
Analytic code itself — not just analytics tools — will increasingly be open source

It turns out that a lot of other people believe this too! Today, there are 30,000 companies using dbt every week, 100,000 dbt Community members, and 4,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.

dbt Labs is an equal opportunity employer. We’re committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns. If you are on the fence about whether you meet our requirements, we encourage you to apply anyway! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation.

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here.

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.

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