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We are looking for a highly organized, people oriented and service minded Office Admin and Employee Experience professional to join our team and support our growing organization.
A day in the life
Oversee employee experience activities, including welfare programs, company-wide events, volunteering initiatives, team events, celebrations, gifting, and swag.
Plan, coordinate, and execute company events and team activities while managing external suppliers, negotiations, and timelines.
Manage the well-being and office budget, including tracking expenses, producing reports, and maintaining financial accuracy.
Handle attendance reports, employee benefits such as meal card management and other ongoing administrative tasks.
Lead the new hire onboarding process, including preparing the workstation, coordinating system access, providing first-day guidance, and ensuring a smooth integration.
Coordinate domestic and international travel for employees, including flights and related arrangements.

We are Looking for a talented IT System Administrator to join our IT team.
In this role, youll beo, you will manage, update, and support the company servers, network equipment, SAAS apps, and cloud infrastructure. You will provide T3 support for the support teams and will be involved in planning and implementing network and IT projects.
A day in the life
Manage and maintain the company network, FW, and cloud infrastructure
Install and configure servers for the corp and R&D needs
Monitor the company Data center activity
Configure and manage the company IDP, MDM, and other SAAS applications
Support and troubleshoot complex hardware and software issues
Implement changes and updates to the company systems
Working on-prem at our office
Working on- site, not hybrid.

DevOps Software Engineer
We're transforming the retail experience by bringing cutting-edge AI-powered technology to life. Imagine walking into a store, grabbing what you need, and walking out- no checkout lines, no scanning. We make that possible with our cashierless stores and advanced theft prevention systems. Our DevOps team is at the heart of this innovation, building the scalable, high-performance infrastructure that powers our global operations.
A day in the life
As a DevOps Software Engineer, you won't just be maintaining systems; you'll be a key player in enabling the future of retail. Your work will directly impact how smoothly our stores operate worldwide. Imagine deploying software updates that instantly improve the shopping experience for thousands of customers. You'll be part of a collaborative team, working on challenging problems like:
Developing solutions that allow u to efficiently and rapidly deploy to numerous stores globally. (We're constantly expanding!)
Ensuring our edge and cloud infrastructure is robust and reliable, handling the real-time data from our AI systems.
Troubleshooting complex issues across our distributed systems, working closely with software and operations teams.
Your contributions will directly support our growth and success, and you'll have the opportunity to see your work make a tangible impact..
Our tech stack includes (but not limited to): Go, Python, Rust, Terraform, Ansible, Helm, GCP, Azure, Kubernetes, ArgoCD, Octopus Deploy, Github Actions.

As we rapidly scale from a handful of pilot stores to dozens of deployments each week, were looking for a DevOps engineer to take the lead on one of the most critical technical challenges in our business: how we deploy software at scale.
Today, deploying our core system into each store is a complex, multi-stage process. Tomorrow, it needs to be seamless, automated, and capable of onboarding dozens of stores per weekwithout sacrificing versatility and quality
This role isnt just about CI/CD or scripting. Its about refining the automation infrastructure that enables repeatable, self-service deployments across hundreds of live, mission-critical environments. Youll sit at the heart of our Ops Technology team, working at the intersection of system engineering and in-store execution, and serving as the technical backbone for deployment scale.
You'll help shape and evolve our DevOps toolsetworking hands-on with cutting-edge technologies to streamline deployments, boost reliability, and scale our platform with speed and confidence. For the right person, this role is a stepping stone toward technical leadership in one of our most strategic teams.
A day in the life
Design and build the software deployment framework that powers our in-store systems at scale
Set up and manage Kubernetes clusters for scalable microservices in diverse environments
Deploy and monitor services with a focus on resilience, observability, and recovery
Troubleshoot complex issues across CI/CD, multi discipline environments, services, and infrastructure
Collaborate with System Engineering, SRE, RnD peers to ensure smooth end-to-end deployment flows
Continuously evolve our CI/CD pipelines, deployment logic, and infrastructure-as-code practices
Build tooling, templates, and documentation to enable fast, low-touch deployments by others
Serve as a technical leader and force multiplier within the Ops Tech team.

We are looking for an experienced, sharp-minded and detail-oriented Data Scientist to join our growing R&D department, and work with an amazing team towards combating retail shrink - that is, catching thieves!
In this role you will develop and implement machine learning models and data-driven algorithms, create methodologies, and employ advanced data analysis techniques to define KPIs, measure our performance, and uncover actionable insights that drive impactful research. Your work will focus on transforming vast amounts of data into meaningful predictions, building scalable ML solutions, and enabling tools that improve the effectiveness of our innovative systems.
If you have a passion for data science and advanced analysis of systems solving real-world problems, wed love to hear from you!
A day in the life
Employ accurate data analysis techniques to evaluate system performance and identify areas for improvement. Produce clear, actionable insights to guide innovation and improve product KPIs.
Design and implement algorithms to automate and optimize performance measurement and decision-making processes.
Develop, train, and deploy predictive models that enhance our core capabilities.
Continuously monitor, validate, and refine models in production to ensure accuracy and robustness.
Collaborate with algorithm researchers, product managers, and Operations to align model design with business and R&D goals.