Deal with analytical data quality in the pull request

Head of Marketing

$235K - $275K
Remote (US)
Job Type
6+ years
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Gleb Mezhanskiy
Gleb Mezhanskiy

About the role

About the role

The Head of Marketing will be critical in accelerating growth and generating demand for our product across various channels. To date, we’ve grown primarily through high-quality content and community events. We seek an experienced Marketing professional who will partner cross-functionally to amplify our value proposition across existing channels and meticulously iterate to find the most effective growth levers. 

You will start leading a team of two, including a Product Marketer and Growth Marketer.

What you'll do

  • Develop, execute, and oversee a comprehensive marketing strategy to generate demand and drive growth across all marketing channels.

  • Partner closely with Sales to develop and implement a robust lead generation and conversion strategy

  • Build, manage, and mentor a high-performing marketing team.

  • Utilize data and analytics to drive insights, make decisions and measure the effectiveness of marketing campaigns.

  • Establish a strong brand presence and manage all brand messaging and communication strategies.

  • Oversee our blog, social media platforms, website, and other digital marketing efforts to drive online visibility and lead generation.

  • Collaborate with Product on launches and lead acquisition strategy.

  • Manage marketing budget effectively and ensure all activities deliver strong ROI.

What we value

  • Proven track record in a senior marketing role in a Data (preferred) or Developer tools space, with a focus on demand generation.

  • Early-stage experience (Series A - C) is a strong plus

  • Exceptional knowledge and experience in digital and traditional marketing channels.

  • Strong understanding of SEO, SEM, social media, email marketing, content marketing, and marketing automation.

  • Excellent analytical skills with a knack for interpreting data and making data-driven decisions.

  • Experience managing a team and working cross-functionally with sales, product, and executive teams.

  • Exceptional verbal and written communication skills.

  • Strong project management skills, with the ability to manage multiple projects while maintaining attention to detail.

  • Ability to work in a fast-paced, dynamic environment and adapt to rapid growth.

Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.

About Datafold

About Datafold

At Datafold, we build tools for data practitioners to automate the most error-prone and time-consuming parts of the data engineering workflow: testing data to guarantee its quality. While data quality (just like software quality) is a complex and multifaceted problem, we draw from decades of our team’s combined experience in the data domain to build opinionated tools our users love. Specifically, we believe that:

Data quality is a byproduct of a great data engineering workflow. That means, rather than building yet-another-app for data practitioners to switch to and from, we insert our tools in the existing workflows, for example, in CI/CD for deployment testing and IDEs for testing during development.

Data quality issues should be addressed before deploying the code. Most data quality issues are bugs in the code that processes data, and applying a proactive, shift-left approach is the most effective way to achieve high shopping velocity and data quality simultaneously. Read more

Lack of metadata (data about data) is the biggest gap in the data engineering workflow. We bring powerful tools such as data diffing and column-level lineage to every data engineer’s workflow to help them validate the code and underlying data and fully understand the dependencies in complex data pipelines.

Datafold is used by data teams at Patreon, Thumbtack, Substack, Angellist, among others, and raised $22M from YC, NEA & Amplify Partners.

Team Size:24
Location:New York
Gleb Mezhanskiy
Gleb Mezhanskiy
Alex Morozov
Alex Morozov