Summary
Join our team as we strive to deliver the world's data with our Enterprise-grade product that makes it easy for data teams at Fortune 500βs and startups alike to adopt Apache Airflow.
Requirements
- 5+ years of relevant work experience (product marketing or product management in the data infrastructure, database management, data engineering or similar space)
- BA/BS degree preferred, but relevant experience will be equally considered
- Ideally, experience with or understanding of workflow management, pipeline development, ETL and/or SDLC
- The ability to clearly articulate the value of a product or service to technical customers
- Experience leading product or feature launches and contributing to larger launches with a team
- A collaborative spirit, sense of ownership, and willingness to learn
Responsibilities
- Develop compelling messaging, articulate product differentiation and our unique positioning in the market
- Partner closely with Product Management in defining feature releases. Plan and execute end to end launches of these features to market alongside Demand Generation and Sales
- Work closely with teams such as Developer Relations, Product Management, Demand Generation, Web, SEO, Sales and Partner Marketing to identify gaps and develop high-quality technical content
- Create product and technical enablement content to help field sales teams prospect, generate pipeline, and educate buyers about our differentiation
- Drive messaging and content for events. Represent the respective product area at field events and meetups
- Analyze the industry, synthesize key market trends, research relevant competitors and create succinct sales consumable battlecards
Preferred Qualifications
- Familiarity with or knowledge of Airflow and/or similar data products
- Familiarity with Data Engineering, ETL, Observability, DBMS or Data Warehousing products
- Experience with commercializing open-source offerings
- Experience with a developer-focused product
- Experience with or knowledge of cloud computing, CI/CD and modern data engineering best practices
- MBA or Masters in Computer Science, Data Science, Product Management or other Graduate degree