Qualifications

• 5+ years in product management or technical product roles
• Previous experience in an engineering capacity (e.g., SWE, DS, ML Eng)
• Startup experience at Series B/C level
• Strong technical skills in Python, AWS, and data pipelines
• Familiarity with big data tools like Spark, Databricks, BigQuery, Snowflake, and Redshift
• Proven track record of internal tooling and big data product work
• Located in the US and authorized to work.

Responsibilities

• Collaborate with engineering and data science teams to optimize internal tooling
• Define product vision and strategy for big data products
• Develop detailed product requirements based on internal user needs
• Lead cross-functional teams to deliver data-driven solutions
• Monitor product performance and gather feedback for continuous improvement
• Ensure alignment between product objectives and company goals

Benefits

• Flexible remote work environment
• Unique opportunity to influence product direction in a startup setting
• Access to cutting-edge big data tools and technologies
• Strong support from experienced leadership
• Engagement with a cross-disciplinary team fostering innovation