Product Manager, AI & BigData
Job description
Digikala, the largest e-commerce platform in Iran, is looking for a high-calibre product manager to help us improve our products and deliver a world-class experience for our customers. In this position, you are supposed to:
Key Responsibilities
- Leverage Artificial Intelligence, Machine Learning and Big Data to define, improve and scale the team’s products and impact our customers’ experience
- Incorporate data, user and market research and analysis to inform product strategies and roadmaps
- Perform gap analysis on existing data and identify new data sources
- Develop solutions to DK challenges by collaborating as needed across teams, product areas, and functions
- Develop requirements and user stories that distill real world events, stakeholder feedback, technical trade-offs, and data analysis into actionable features
- Decompose & detail User Stories from more coarsely defined requirements (Epics and Features), and help the engineering team define and decompose Technical Stories
- Communicate the product vision and strategy to stakeholders and agile teams and translate it into what needs to be built and evolved
- Define, analyze and monitor metrics that inform the success of products
- Understand and help with the machine training, validation, and testing processes
- Helping the team to know up-to-date priorities and making sure that the delivered features provide optimal business value
- Work collaboratively with Digikala’s core product teams to apply AI/ML using new services to solve some of the company's hardest problems
Requirements
- Having applied experience and education in AI and Machine Learning
- Experience defining vision and strategy for a technical product
- Experience building new AI/ML technologies, products and developer tools
- Strong analytical skills and ability to provide guidance, direction and be able to set measurable goals
- Lead the planning of product release plans and manage expectations around delivery of new features
- Experienced in working with data scientists and engineers in an agile setup
- Experience in managing full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution
- Being data and number-driven, know what data to collect and how to interpret the KPIs
- Strong communication skills, verbal and written, for both business and technical audiences, a positive attitude, and empathy for each other and for our users
- Being organized, able to work independently, and possesses self-awareness and a desire to continually improve