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dltHub

Open-source Python data-loading pipeline tool

Senior Product Marketing Manager

Product MarketingConfirmed live in the last 24 hours
Full-timeBerlin, Germany

About the Job

Requirements

  • Write clearly about technical subjects in a style that avoids excessive marketing language.
  • Have experience targeting US enterprise customers and understand the material senior technical stakeholders read.
  • Understand the product well enough to discuss data pipelines, schemas, and warehouses with data engineers without being one.
  • Have carried launches from start to finish, including selecting the audience, message, and assets, and building most of those assets.
  • Be able to keep agents in control and build agentic workflows while ensuring the external presence conveys a human touch.
  • Have a basic understanding of data workflows.
  • Work regularly from the Berlin office.

Responsibilities

  • Own and deliver product launches, communicating product vision and capabilities consistently to a growing audience.
  • Own website communications and ensure enterprise communications consistently represent the brand.
  • Interview customers and write customer success stories and blueprints based on customer and Solutions Engineering engagements.
  • Coordinate content marketing creation and distribution, work with content writers, plan schedules, and ensure content matches the company’s language.
  • Align Product and go-to-market stakeholders, drive the launch schedule, close gaps in messaging, sales enablement, and launch readiness, and coordinate product marketing activities.
  • Build a repeatable process for training sales on the company’s story.
  • Own the marketing plan and maintain a visible roadmap.

About the Company

dltHub

Open-source Python data-loading pipeline tool

dltHub builds the dlt library, an open-source Python tool that automates building data pipelines by loading data from diverse sources into data warehouses and data lakes with minimal code. The library auto-generates and evolves schemas as source data changes, reducing manual ETL work. It differentiates itself by offering an open core alongside a forthcoming managed cloud service, dlt-hub Cloud, that adds deployment, monitoring, and governance features for enterprise use. Its goal is to drive broad adoption of scalable, maintainable data-loading workflows for data teams while monetizing through commercial cloud services.

Company size
11-50
Company stage
Seed
Total funding
$14.2M
Headquarters
Berlin, Germany
Founded
2022

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