Product Manager - AI & Data Analytics
Location:United States, Canada, Global
Languages:English
Seniority level:Senior, 3-5+ years
Experience:3-5+ years
Skills:
SQLArtificial IntelligenceBusiness IntelligenceData AnalysisMachine LearningMicrosoft Power BIProduct ManagementSnowflakeTableauData engineeringData scienceData visualization
Requirements:
3-5+ years of relevant experience in data products, data-driven SaaS, or product management. Strong ability to connect technical features to customer value and business outcomes. Experience working directly with customers to gather requirements and manage feedback. Excellent communication and data storytelling skills. Demonstrated ability to manage a backlog and prioritize effectively. Solid SQL fundamentals for data exploration and analysis. Experience with a modern BI platform (e.g., Tableau, Looker, Power BI, Sigma). Strong functional understanding of data transformation techniques. Experience with Snowflake, Fivetran, DBT, and Sigma (plus). Domain expertise in B2B SaaS verticals (plus). Familiarity with scripting languages like R or Python (plus). Exposure to AI/ML lifecycle or production machine learning models (plus).
Responsibilities:
Own product vision and strategic roadmap for AI/ML models, data products, and analytics features. Engage directly with strategic customers to understand needs and co-develop features. Define and communicate product success metrics. Partner with UX, Data Science, and Sales Engineering for demos. Define requirements (epics and user stories). Write detailed specifications for data processes. Partner with Product Marketing, Sales, and Customer Success for launch plans. Conduct product-related data analysis and validate data assets. Assess viability of new ideas with technical fluency. Define requirements for AI/ML-driven features with data scientists.
