- Deploy 20+ robots monthly across retail stores, hotels, and trade shows
- Travel 50-75% (Mon-Thu, home weekends)
- Turn skeptical store managers into champions on Day 1
- Work with engineers but own the business outcome
- Create the playbook for deploying at Walmart, Marriott, CES
- Ensure every robot generates ROI within 30 days
- Transform pilot programs into chain-wide rollouts
- You've rolled out technology that changed how businesses operate
- You know the difference between installation and transformation
- You can manage a stressed Fortune 500 client at 6am in their flagship store
- You've done chain-wide rollouts (50+ locations)
- You see travel as freedom, not burden
- You can translate between engineers and executives
- You know that Week 1 determines Month 12
Skills Required
- Experience in technology rollouts that change business operations
- Ability to manage high-stress situations with Fortune 500 clients
- Experience with chain-wide rollouts of 50+ locations
- Strong communication skills between engineers and executives
What We Do
Gerra builds data infrastructure for Physical AI. We collect multi-modal robotics datasets from real-world deployments — synchronized vision, depth, proprioception, IMU, and audio across humanoids, quadrupeds, and mobile manipulators operating in diverse environments. Our goal: enable embodied AI that can actually operate in the physical world. • Hardware-synchronized sensor fusion (<1 ms precision) • 15+ robot morphologies across retail, warehouses, public spaces • Expert-verified success/failure labels with detailed annotation taxonomy • Data structured for imitation learning, reinforcement learning, and foundation-model pre-training Use it to train and evaluate real-world policies: behavior cloning, policy transfer, long-tail robustness — or deploy your own models on our fleet to collect task-specific data. Gerra is building the dataset layer for embodied intelligence — powering the next generation of physical AI systems.
