Simbe Robotics

• 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.

• Engage with retail clients to understand their store operations, backend systems, and data requirements. • Define end-to-end integration strategies, including data ingestion, pre and post processing, and publishing to relevant retail systems. • Serve as the subject matter expert on Simbe’s products and offerings, including APIs, mobile apps, and business intelligence tools. • Develop pilot use cases and demos showcasing Tally’s data capture, analytics, and integration with client’s systems. • Guide the implementation process, working with internal Simbe deployment teams and client technical teams to configure integrations. • Partner with Customer Success and Product teams to build robust adoption strategies, including user training, documentation, and onboarding processes. • Act as the technical point of contact for key stakeholders, maintaining a proactive communication channel for support.

• Triage and manage customer support tickets in Jira or other internal systems. • Execute assigned support workflows according to Simbe SOPs and internal processes. • Review ticket context, customer requests, internal notes, and relevant system information to determine next steps. • Help resolve common support requests such as: - traversal schedule changes, - customer-requested updates, - map or remap-related requests, - follow-up on missed or degraded traversals, - support cases requiring coordination across internal teams. • Document actions taken clearly so each ticket has accurate, useful context. • Keep tickets organized, current, and moving toward resolution. • Escalate issues to the right internal team when they cannot be resolved through the documented support workflow. • Identify repeated themes, unclear SOPs, or opportunities to improve internal support processes. • Partner with the Customer Support lead to maintain a responsive, reliable customer support operation. • Communicate blockers clearly and proactively.

• Elevate marketing analytics, reporting & GTM systems foundation • Create a lean, high-impact system that drives better decision and faster execution • Assess current state of funnel reporting and pipeline visibility • Identify key constraints limiting deal velocity • Define a minimum viable reporting system

• Investigate and resolve incoming customer issues using internal diagnostics, system data, logs, and support tooling. • Drive issues through to resolution, not just triage. • Reproduce and analyze reported issues with rigor. • Gather relevant data and diagnostic context. • Work with Engineering and Operations to resolve issues that require cross-functional input. • Build scripts, automations, or lightweight tools to accelerate investigation workflows. • Identify recurring issues and systemic failure patterns across the customer base. • Contribute to internal support documentation, runbooks, and escalation procedures.

• Remote Monitoring and Diagnostics: Monitor Tally robot performance dashboards, telemetry data, and service health indicators across the fleet. Proactively identify anomalies, degraded performance, and failure patterns. Triage and diagnose issues using system logs, command-line diagnostic tools, and remote utilities. • Corrective and Preventative Maintenance: Respond to reported issues and drive remote resolution across hardware, software, and network-related problems. Execute scheduled maintenance protocols, software updates, and health checks to sustain fleet uptime. Escalate unresolved issues to Engineering with thorough documentation of findings and steps taken. • Automated Detection and Remediation Tooling: Build and maintain scripts, monitoring workflows, and lightweight internal tools to automate issue detection, fleet health checks, and recurring investigation tasks. Use AI-assisted development to accelerate tooling where applicable. The expectation is to continuously reduce reliance on manual monitoring through automation. • Telemetry Analysis and Systemic Issue Identification: Analyze telemetry datasets, operational metrics, and error logs to identify root causes and recurring patterns across the fleet. Surface systemic issues to Engineering and Product with clear data and context. Contribute to automated detection workflows for known failure modes. • Service Quality Reporting: Track and report on key service delivery metrics — scan completion rates, uptime, and SLA adherence. Identify trends that could impact the customer experience before they escalate. • Incident Documentation and Knowledge Development: Log all incidents, resolutions, and recurring patterns in internal ticketing and tracking systems. Develop and refine operational playbooks, troubleshooting guides, and escalation procedures. Contribute to a knowledge base that supports continuous improvement across the operations team. • Customer and Site Coordination: Partner with Client Success and on-site retail staff to communicate robot and service status, schedule maintenance windows, and ensure minimal disruption to store operations. • Cross-Functional Collaboration: Work closely with Engineering, Product, and Deployment teams to relay field observations, surface systemic issues, and contribute to reliability roadmaps based on operational data. • Operational Coverage: Participate in a rotating weekend and extended-hours schedule to ensure consistent monitoring and support of the global fleet.

• 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.

Simbe Robotics is a leading retail robotics company delivering in-store intelligence solutions that help retailers optimize operations, improve shelf execution, and unlock actionable data insights. Our autonomous robots, computer vision systems, and cloud-based analytics platform operate in live retail environments at scale, enabling enterprise customers to make faster, data-driven decisions. Position Overview Simbe is seeking a Vice President of Engineering to lead and unify our full-stack engineering organization across robotics, hardware, AI, cloud, and data systems. This role owns end-to-end engineering execution and technical alignment across: - Mechanical Engineering - Hardware R&D and Electrical Engineering - Robotics Software and Embedded Systems - Computer Vision and Applied AI - Cloud Infrastructure and Web Platforms - Data Science and Data Platforms - Product Roadmap Management The VP of Engineering will ensure architectural cohesion across hardware and software, operational excellence in production and deployment, and continued advancement of our deep technology capabilities. This is a systems-level leadership role requiring both technical depth and organizational scale. The mandate is to build a unified, enterprise-grade robotics and intelligence platform that performs reliably across thousands of real-world retail environments. Responsibilities: Own engineering strategy, execution, and delivery across hardware and software domains Drive architectural alignment across mechanical, electrical, embedded, AI, cloud, and data systems Establish scalable engineering processes, quality standards, and release discipline Ensure production readiness, field reliability, and measurable system performance for Tier 1 B2B customers Partner closely with Product, Commercial, Customer Success, and Operations to align engineering priorities with revenue growth and customer outcomes Balance near-term delivery commitments with long-term technical innovation Build and develop high-performing, cross-disciplinary engineering leaders Advance Simbe’s leadership in robotics, computer vision, AI, and cloud-based retail intelligence What we are looking for: Proven experience leading multi-disciplinary engineering organizations delivering deployed robotic or IoT systems at scale Direct oversight of both hardware and software teams Strong systems thinker with experience integrating mechanical, electrical, embedded, AI, and cloud architectures Track record of scaling engineering organizations in growth-stage environments Experience delivering enterprise-grade products to Tier 1 B2B customers Demonstrated ability to raise engineering rigor while maintaining startup velocity Credible technical leader capable of guiding senior domain experts across hardware, AI, and software disciplines Experience partnering with commercial teams to ensure technical investments translate into business impact At Simbe, you will be at the forefront of retail innovation, working with cutting-edge AI and robotics technologies to transform retail operations. Our culture is dynamic, inclusive, and driven by a passion for improving the way retailers operate and serve their customers. Join us to be a part of a team that is not only reshaping the future of retail but also offering immense value to our clients worldwide. Simbe Values : R. E. T. A. I. L. Result Driven - We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors. Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally. Transparent - We highly value open communication internally, and with our partners and customers. We are receptive to feedback. Agile - We are agile and always eager to learn. We quickly adapt to changes and customer needs. Innovative - We are bold and innovative, with an intense focus on product design and user experience. Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.