Qualifications

• 5+ years of experience in product management or technical product roles
• Previous experience in an engineering position (software engineer, data scientist, ML engineer, or technical analyst)
• Experience in startups, particularly at Series B/C—excluding large tech companies
• Strong technical expertise with Python, AWS, and data pipelines
• Hands-on experience with big data tools such as Spark, Databricks, BigQuery, Snowflake, and Redshift
• Demonstrated work on internal tooling and big data products with specific project examples
• Must be based in the US and authorized to work

Responsibilities

• Lead product initiatives for internal tooling and big data products
• Collaborate with engineering and data science teams to drive project success
• Define product vision and strategy for complex technical solutions
• Manage the product lifecycle from concept through launch
• Analyze user feedback and data to prioritize features and enhancements
• Ensure alignment between cross-functional teams and project objectives

Benefits

• Flexible remote work environment
• Opportunity to work in a dynamic startup atmosphere
• Growing team focused on innovative internal tools and data solutions
• Potential for career growth in an entrepreneurial setting