As a leading food-tech business, Kitopis growth has been largely fueled by its innovative and scalable software solutions. Kitopis kitchens are powered by its proprietary Smart Kitchen Operating System (SKOS) – an in-house suite of applications that optimizes cloud kitchen operations in real-time. As part of its growth roadmap, technological innovation, data science, artificial intelligence, and robotics will take center stage as Kitopi continues to reinvent the food industry as we know it today.
With over 4,000 employees, Kitopi currently operates 200+ locations across the UAE, KSA, Kuwait, Bahrain, and Qatar, and runs its engineering hub in Krakow, Poland, its robotics hub in Denmark, and its global customer experience center in Dubai, UAE.
Together with the Product, Engineering, Data, AI, and Robotic departments, we are creating various applications starting from highly personalized selling apps (web & mobile), through the kitchen management system, customer service, delivery, control, and business applications which help us to make decisions and determine the further direction of product development and more. We currently have around 40 applications in microservice architecture and we will constantly be creating new ones.
What You’ll Do
Own the product life cycle, from discovery and definition to execution, launch & iteration
Lead data projects/product lifecycle: take part in defining the product roadmap, be an expert in understanding the data platform
Understand stakeholder needs, gather stakeholders requirements, define product specifications, interface with the data R&D teams, finalize the delivery and launch innovative products
Translate/map business requirements into detailed functional and technical designs across all layers, including analytical products, data insights tools, data infrastructure, environments, monitoring, reporting
Involved in reviewing, approving, and initiation of technical architecture, design decisions, and technical innovations
Analyze and process a high volume of data to provide actionable insights to the business, with the end goal of driving growth, retention, and engagement Develop and run quantitative analysis, reports, and more to support our growth efforts
Produce automated tools and dashboards to facilitate company-wide awareness and understanding of key metrics and experiment results
Be a leader in championing your product across all stakeholders internal and external
Contribute to moving forward with data-driven business insights, to ensure cross-alignment and deliver key strategic questions, risks/opportunities to senior stakeholders and across the organization Headquarters, Regions, Markets
Develop A/B test strategy, perform A/B testing working with data analysts and data scientists to validate and iterate product increments that demonstrate customer and business value
What Are We Looking For?
Strong communication skills; able to effectively influence a wide range of stakeholders all across the organization, strong storytelling skills are necessary
Good commercial awareness and be able to demonstrate your competence in analyzing, reporting, and efficiently responding to quantitative and qualitative data
Detail-oriented, data-driven, analytical, inquisitive, and visualize the big picture
Minimum of 3-4 years of experience in building and shipping products together with teams of engineers, designers, analysts, resulting in a significant business impact
Ability to get hands-on in a complex operational environment, to manage and close the loop on multiple concurring tasks
Understanding of regional and global outlook around
How Do We Work?
In cross-functional squads – (Product Manager + Frontends + Backends + QA + Data Analyst),
We do Code Reviews and are Clean Code practitioners
We use Continuous Integration/Deployment
We write all kinds of tests
Business-oriented goals – the most important thing is what Tech Team delivers to the business at the end
Technologies We Use
Backend Java 8/11t?umacz, Spring Boot, Kafka, Confluent Schema Registry, PostgreSQL, DocumentDB, Elastic Search
Infrastructure: Infrastructure as a Code, AWS Cloud, EKS (Kubernetes), RDS (PostgreSQL), MSK (Kafka), NoSQL (DocumentDB, AtlasDB, ElasticSearch), API Gateway, Terraform, CI/CD (GitLab preferred), Agile Methodologies, Helm and GitOps, Ansible, Litmus, Keptn, Dynatrace, Grafana, Prometheus Containerisation (Docker)
Testing: Postman, Python, Selenium web-driver, Locust.io, Docker, Gitlab, Kubernetes
Data warehouse / Big Data: Snowflake, Looker, Kafka, Python, SQL, Airflow, DBT Raw – Data Lake GitLabSpark, Jupyter, Amazon Sage Maker
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