Position: Product Owner
Company: WorkNest Technologies
Category: Product Manager
Experience required: 5y
English level: upper

**What you’ll be doing: **

- **Own the product backlog** - Understand the customers’ needs, competitive landscape, and Wand’s vision. Use these insights to optimise the product backlog throughout the agile scrum ceremonies
- **Be customer-centric** - Be fanatic about the success of our customers. Work closely with customers and customer success to intimately understand the customer viewpoint
- **Innovate** - Always explore new ideas, directions, and ways to do things dramatically better
- **Be detailed** - Decompose backlog items into granular epics, stories, and tasks ready for the development team to start work on
- **Be data-driven** - Use analytics, metrics, and key performance indicators to measure the product progress
- **Collaborate** - Working with architects, R&D, QA and DevOps to understand HL design, cross interfaces impact & architectural or non-functional features and prepare for next development iteration
- **Be Magical** - Always think of new ways to improve the Wand platform and bring new magics to our customers 
- **Speak Dev** - Easily translate the backlog to the development team in easy breezy magical grooming sessions

**Requirements:**

- Ability to work flexibly and independently in a fluid, start-up like environment
- Proven track record of 5+ years in creating successful products in at least one of: **AI, Big Data, Data, ML and analytics platforms**
- Proven agile and SaaS experience 
- BSc in computer science/engineering, or 3-5 years of hands-on experience in software development
- Proven experience in building web based applications
- You have a proven track record of managing all aspects of a successful product throughout its lifecycle
- Fluent English - writing and speaking
- Excellent communication and presentation skills
- Passion and creativity to solve business problems with data and AI techniques
- Sharp mind and great analytical and learning skills accompanied by curiosity and independence
- Data Science techniques knowledge through professional or academic experience - Advantage