Product Manager - Data & Analytics

About Us

AiFi is an AI technology company automating the world’s stores for retailers and brands of all sizes, from small footprint pop-up stores to supermarkets. With its Autonomous Store Platform OASIS, AiFi is creating delightful customer shopping experiences with some of the most influential retail partners in the world including Carrefour, Albert Heijn, Żabka, Valora, and Loop. AiFi-powered stores are becoming destinations in cities like Amsterdam, Paris, the San Francisco Bay Area, and Shanghai.  

Brief Description: 

AiFi is a fast-paced technology company that is transforming the world of cashierless shopping! Are you passionate about using your knowledge to navigate complex challenges? Join us, and you’ll have a meaningful role in the next evolution of the consumer shopping experience. 

In this role you will be working alongside some of the most experienced engineers in the world, developing state-of-art technologies that change how machines perceive, communicate and interact with the world.  

Our solutions handle information at a scale which extends beyond simple images or video. Lead the way as a cross-functional product manager focused on Data & Analytics, guiding our teams through ambiguity on the path innovation and ultimately success.  

You will have the opportunity to work through and deliver the data backbones that power our computer vision based product recognition and the analytics that drive our company and its clients to make better business decisions. Diversity and flexibility is key as you will help us define the best path - helping us define ourselves as a force to be reckoned with in the industry. 

If you love: 

• Working in a fast paced start-up environment where you can make a large and direct impact on the global product 
• Leading advanced product and technical teams through innovation in deep learning, and analytics space 
• Managing complex product lines from the ground up -  ensuring product market fit and go-to-market success 
• Acting as a cross-functional liaison between sales, marketing, UI design, engineering, research, etc. 

• Leading a globally distributed team of highly skilled engineers  provide clear direction on the product backlog, epic and user story requirements 

And you want to: 

• Serve as the subject matter expert (SME) and evangelist for our Data and Analytics product group while ensuring alignment within the technical structure of parallel product lines. 
• Identify improvements to existing product processes; develop a strong understanding of processes and technology 

• Clearly express Product Backlog Items in terms of business and customer value and support the development process by working regularly with the team to refine and add detail where needed 
• Lead definition of allowable configurations, test cases and execute UAT 
• Work with Product Management and Engineering Teams to define with a good confidence the release deliverables for any given release 
• Work closely with solutions architects and system architects to understand new technology infrastructures and global deployments 
• Travel as needed for research and team collaboration. 

We are seeking a Product Manager with: 

• MS/PhD in Computer Science, Computer Engineering, relevant field, or with the relevant practical experience 
• 5 years of data/analytics product management experience, including at least 2 years of B2B/B2C product management, with ownership of delivered B2B/B2C products 
• 3 years of experience creating strategic product roadmap(s) from conception to launch 

• Experience working with engineering and other cross-functional teams (sales, marketing, UX design, support, research, etc) for product delivery, development, and go-to-market strategies. 
• Strong prioritization and project management skills, including timely and dedicated communication of timelines, status, and critical issues 
• Experience working with Azure data storage & Databricks 

If you have one of these experiences it is even better: 

• Experience with one or more general purpose programming languages including but not limited to: Python, JavaScript, Go, C/C , C# or Objective C  
• Demonstrated familiarity with common ML training practices and data ingestion 
• Solid understanding of hybrid cloud architectures 
• Strong knowledge of web standards and protocols, including HTTP,  REST and gRPC 
• Experience working in a Scrum environment filling the role of Scrum Master and/or Product Owner. 

• Experience building globally scalable AI architectures