Data Operations Team Lead

Shopic is an AI RetailTech startup specializing in next-generation retail solutions and frictionless shopping experiences. Our technology is powered by advanced computer vision and data analytics. Our products include SmartCart and ShopWatch, a computer vision solution designed to reduce shrink at Self-Checkout stations.

We are building data-driven products at scale, and high-quality data is at the core of everything we do.

About the Role

We are looking for a Data Operations Team Lead to lead and scale our data operations function. This role sits at the intersection of data, algorithms, and operations, and is critical to the success of our computer vision and AI models.

You will lead a distributed team responsible for data collection, annotation, quality control, and delivery, while working closely with Algorithm teams to understand model needs, prioritize requests, and ensure reliable, high-quality data pipelines.

This is a hands-on leadership role – you will manage people and processes, but also actively design, build, and improve data workflows.

Requirements:

Proven experience leading teams, preferably including remote or global teams
Strong background in data operations, data quality, or data-centric workflows
Experience working closely with Algorithm / ML / Computer Vision teams
Strong prioritization and execution skills in a fast-paced environment
Hands-on technical mindset, including basic scripting and tool usage
Ability to create clear documentation, guidelines, and training materials
Excellent communication skills and ability to manage multiple stakeholders
High ownership mentality and attention to detail

Nice to Have

Experience managing teams in India
Experience with data annotation tools such as CVAT
Familiarity with Elastic / Kibana or similar monitoring tools
Experience in AI / Computer Vision environments
Experience evaluating and implementing new data tools

Why Join Shopic?

This is a high-impact leadership role with direct influence on the performance of AI models deployed in real-world retail environments. You’ll work with cutting-edge technology, own a critical domain, and help scale data operations at the heart of our products.

Responsabilities:

Lead and manage the Data Operations team, including annotation teams in Israel and a large remote team in India
Serve as the primary interface between Data Operations and Algorithm teams: understand model requirements, prioritize tasks, and plan data delivery
Own end-to-end data workflows, from model improvement needs through data definition, annotation guidelines, execution, and delivery
Ensure high data quality through close monitoring, validation, troubleshooting, and root-cause analysis
Design and maintain clear annotation guidelines, documentation, and training materials
Closely manage remote annotation teams, including weekly syncs, hands-on oversight, and deadline management
Own and operate the annotation pipeline using industry tools (e.g., CVAT)
Monitor progress, track performance, and continuously improve efficiency and quality
Own annotation budgets, monthly reporting, and validation of hours and outputs
Evaluate, benchmark, and implement new tools and processes in the data and annotation domain
Work hands-on with scripts, AI tools, and monitoring systems as needed to support data quality and operations