Product Owner
Mumbai, Maharashtra, India
- Remote-first
- Website
- @weekdayworks 𝕏
- Search
Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of Weekday’s clients
Min Experience: 3 years
Location: Mumbai
JobType: full-time
Requirements
About the role
icogz is hiring a Product Owner to lead the development of our AI-powered Business Intelligence platform. This role is ideal for someone who thrives at the intersection of business context, user needs, and insights.
You’ll be responsible for defining features, writing clear user stories, shaping workflows, and collaborating closely with engineering, data science, and product teams.
The goal: deliver insights and modules that solve real business problems for enterprise users.
Key Responsibilities
- Own and prioritize the product backlog
- Write requirements, user stories, and acceptance tests
- Collaborate with engineers, data scientists, and designers
- Design end-to-end workflows for business users in enterprise environments
- Represent the voice of the user and buyer in product planning
- Continuously explore new tech to support the future product roadmap
Must-Have Qualifications
- 3 - 6 years of experience in a product role
- Strong experience designing user workflows for non-technical business users
- Excellent communication and documentation skills
- Experience working cross-functionally with tech and product teams
- Curiosity and comfort working in a fast-paced, evolving environment
Nice-to-haves:
- Exposure to AI product features or ML-driven tools (technical depth not required)
- Familiarity with predictive models, scoring frameworks, or recommendation systems
- Experience in BI or analytics environments
- Background in SaaS or enterprise product teams
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Engineering Machine Learning
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