Senior Product Marketing Manager
DlthubБерлинГибрид
SaaSData EngineeringContent MarketingProduct MarketingOpen-sourceEnterprise
Описание
DLTHub provides the infrastructure that enables data teams in large enterprises and scale-up companies to run their data stack autonomously. The open-source Python library, dlt, offers transparent, composable building blocks for data ingestion, designed for the AI era. Built on dlt, dltHub is the AI-native data engineering platform for teams of humans and agents. As a Product Marketing Manager, you will build the bridge between customers and the product team, making dltHub compelling to business leaders and driving enterprise opportunities through strong messaging, launches, and enterprise-level communication.
Responsibilities
- Own the process and delivery of product launches, ensuring consistent communication of product vision and new capabilities to a growing audience
- Ensure consistent brand representation and take ownership of website communications
- Take customer success stories and blueprints to the next level of excellence, interviewing customers and writing collateral
- Coordinate content marketing creation and distribution efforts, working with content writers, planning schedules, and ensuring content speaks the company's language
- Align stakeholders, drive the launch schedule, and close gaps in messaging, sales enablement, and launch readiness, coordinating product marketing activities
- In 90 days, run launches end to end, and ensure story consistency across website, sales collateral, and decks, with messaging directly to business buyers
- In 6 months, build a repeatable process that trains sales on the story and see its effectiveness in win rates and deal velocity
- Ongoing, own the marketing plan: a lean, visible roadmap showing what is being done, why, and in what order
Requirements
- Ability to write clearly about technical subjects in a clear style, not full of marketing talk
- Experience targeting US enterprise customers and familiarity with what a senior technical stakeholder reads
- Ability to discuss pipelines, schemas, and warehouses with a data engineer without being one, understanding what the product does
- Experience carrying out launches from start to finish, including choosing the audience, deciding on the message, selecting and building assets
- Ability to keep agents in control and build agentic workflows while ensuring external presence conveys a human touch
- Basic understanding of data workflows
We offer
- Work organized around autonomy and efficiency, with set hours for communication and deep work
- Office-first company with room for deep work and working from home
- Dedicated meeting-free days
- Covered Berlin public transportation ticket
- Annual budget for learning and development
- Regular subsidized team lunches and Urban Sports Club membership
- ESOP scheme available to employees, taking into account their impact on the product and the company