About the role
Responsibilities:
- Define product strategy and roadmap: Identify key use cases by interacting closely with our customers and users, and define the product strategy and roadmap.
- Shape user experience: Collaborate with UX designers to transform your product vision into intuitive interfaces specifically designed for native GenAI functionality, setting new standards for user interaction.
- Build amazing functionality: Work alongside our world-class engineering team to build groundbreaking products that exceed customer expectations and push the boundaries of what's possible.
- Champion user needs: We have thousands of companies using our product; interact with them closely to become the voice of all these users inside the company.
- Enable sales success: Work closely with our sales and support teams to provide air cover during pre-sales and post-sales stages for our key enterprise customers.
- Collaborate with marketing: Collaborate with marketing to deliver industry-leading messaging, positioning, pricing, and lead-generation strategy.
Requirements:
- Proven Data Product Experience: Minimum of 7+ years in enterprise product management, with a track record of successfully developing and launching technical products for data engineers.
Technical Expertise:
- Deep understanding of data stack concepts, including ELT pipelines, data warehousing, data quality frameworks, and workload orchestration.
- Hands-on experience with contemporary data stack technologies such as dbt, Snowflake, Spark, Fivetran, and Airflow.
- Strong foundation in AI technologies, including LLM frameworks, RAG architectures, and AI evaluation methodologies.
- Exceptional Leadership Skills: Demonstrated ability to influence and align cross-functional teams toward common objectives through collaboration and persuasion rather than formal authority.
- Strategic Problem Solver: Strong analytical and creative thinking capabilities, with proven success in navigating ambiguity and developing innovative solutions to complex customer challenges.
- Startup DNA: Previous experience in Series A or B-stage startups, demonstrating the ability to excel in fast-paced, dynamic environments where adaptability is key.