VP, Engineering - Integrated Robotics Systems

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. 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. country: US all locations: [San Francisco Bay Area] commitment: Full-time department: Product Engineering location: San Francisco Bay Area team: Robotics Engineering Responsibilities:: Own engineering strategy, execution, and delivery across hardware and software domainsDrive architectural alignment across mechanical, electrical, embedded, AI, cloud, and data systemsEstablish scalable engineering processes, quality standards, and release disciplineEnsure production readiness, field reliability, and measurable system performance for Tier 1 B2B customersPartner closely with Product, Commercial, Customer Success, and Operations to align engineering priorities with revenue growth and customer outcomesBalance near-term delivery commitments with long-term technical innovationBuild and develop high-performing, cross-disciplinary engineering leadersAdvance 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 scaleDirect oversight of both hardware and software teamsStrong systems thinker with experience integrating mechanical, electrical, embedded, AI, and cloud architecturesTrack record of scaling engineering organizations in growth-stage environmentsExperience delivering enterprise-grade products to Tier 1 B2B customersDemonstrated ability to raise engineering rigor while maintaining startup velocityCredible technical leader capable of guiding senior domain experts across hardware, AI, and software disciplinesExperience partnering with commercial teams to ensure technical investments translate into business impact