Manage the full deployment lifecycle for assigned retail locations: pre-deployment verification, physical installation coordination, network configuration, digital setup, and handoff to operations. Own quality and timeline for each deployment.
Confirm all site requirements are met prior to deployment — including network credentials, docking locations, traversal area definitions, and hardware readiness. Identify and resolve blockers early to protect deployment timelines.
Coordinate remote contractors via chat and voice through the physical installation process. Provide timely, clear support to field teams and ensure deployment procedures are followed consistently.
Configure robots for new sites including traversal pattern setup, schedule management, and route mapping. Validate initial performance against quality thresholds across decode accuracy, OOS detection, price verification, location coverage, and upload speed.
Diagnose and resolve issues across network connectivity, hardware, and software encountered during deployment. Triage root causes systematically and escalate with clear documentation when needed.
Build scripts, workflow automations, or lightweight internal tools to reduce manual effort in the deployment process — including pre-deployment checklists, status tracking, configuration validation, and reporting. Use AI-assisted development to accelerate tooling where applicable.
Develop and maintain QA checks for deployment readiness and early operational performance. Identify patterns in deployment failures and build detection or prevention mechanisms.
Maintain accurate records of deployments, issues, and resolutions in Jira and Confluence. Contribute to deployment playbooks and continuously improve procedures based on field learnings.
Requirements
Experience in a technical operations, deployment, or field support role in robotics, retail technology, IoT, or similar
Strong troubleshooting skills across network, software, and hardware issues
Ability to manage multiple concurrent deployments and deadlines in a fast-paced environment
Demonstrated experience using scripting (Python, bash, or similar) or automation tools to reduce manual operational work
Proficiency with Linux-based systems and basic networking (TCP/IP, Wi-Fi, VPN)
Experience using AI tools to accelerate investigation, analysis, or workflow automation
Strong written and verbal communication for coordinating remote field teams and stakeholders
Familiarity with Atlassian tools (Jira, Confluence, Opsgenie)
Tech Stack
IoT
Linux
Python
TCP/IP
Benefits
The total compensation package for this position may also include other elements, including equity compensation, in addition to a full range of medical, financial, and/or other benefits.