Middle Product Owner

Product Owner - AI-Powered Consumer Insights Platform

i-Genie.ai is seeking a Product Owner to support our AI-driven consumer insights platform serving global brands such as Unilever, Kenvue, Bayer, and Coca-Cola.

This role sits at the intersection of data analytics and product strategy. You'll collaborate with engineering, design, and client success teams to translate complex data into clear product requirements, maintain and refine the product backlog, and champion the user voice through customer feedback and usage data analysis.

What you’ll do:
• Extract and deliver actionable insights from massive unstructured datasets such as social media conversations, online reviews, video content, hashtags, and consumer sentiment data.
• Build and maintain analytics dashboard-based products that drive client business decisions.
• Translate data-driven insights into clear product requirements and maintain a prioritized backlog.
• Track and report on KPIs, including engagement metrics and customer feedback.
• Synthesize insights for stakeholders and inform product roadmap decisions.

You’re a strong fit if you have:
• Required: 3-7 years of Product Owner or Product Manager experience
• Required: Understanding data, analytic and visualization best practices (charts, dashboards, reports, data extracts etc.)

• Required: Proven analytics capability and/or experience working with unstructured data (such as social posts, search, reviews etc.)
• Required: Demonstrated ability to deliver results in ambiguous, fast-moving environments, with limited guidance and support. A successful candidate will jump right in and figure out what needs doing.
• Valued: Hands-on expertise with dashboard platforms (Power BI, Apache Superset, Amplitude, Tableau, Looker, GA4, or similar). The position requires significant time working directly with data and dashboards – from understanding how raw data goes through Data Science / LLM pipeline, turns into client insights, to troubleshooting potential data issues and building scalable solutions across 5+ products, dozens of data sets and 100’s of client deliverables
• Valued: Background in market research, consumer insights, or data analytics
• Valued: B2B SaaS or analytics platform domain experience