Vp Operations Jobs

About The Position

Requirements

• 5+ years of operations experience in hardware, with significant time in robotics, electronics, or complex electromechanical products.
• Hands-on familiarity with electronics manufacturing - you must know the difference between a PCB and a machined part, and dealt with the suppliers who make them.
• Proven track record scaling production of a hardware product.
• Experience managing contract manufacturers and multi-tier supply chains, ideally including overseas and domestic production.
• Fluency in the language of hardware: BOMs, EVT/DVT/PVT, yield, MTBF, ECOs, and factory ramps.
• Strong first-principles thinker who is comfortable operating with ambiguity at a fast-moving startup.
• Willingness to be hands-on - on the factory floor, at supplier sites, and in customer warehouses when needed.

Nice To Haves

• Experience with drones, UAVs, or autonomous mobile robots.
• Experience with Robots-as-a-Service or other hardware-enabled recurring revenue models.
• Background in regulated or safety-critical hardware environments.
• Experience deploying hardware fleets into industrial or logistics environments.

Responsibilities

• Own end-to-end hardware operations: supply chain, procurement, manufacturing, and logistics.
• Scale our production processes without sacrificing quality or reliability.
• Build and manage relationships with contract manufacturers, component suppliers, and logistics partners.
• Increase manufacturing velocity while navigating component sourcing, lead times, and supply chain risk.
• Establish quality systems, testing protocols, and reliability standards for robots that operate 24/7 in active industrial environments.
• Partner closely with engineering on DFM (design for manufacturability), NPI (new product introduction), and hardware revision cycles
• Build and lead the operations team as we grow
• Own operational metrics: unit economics, yield, on-time deployment, and hardware uptime.

Benefits

• You'll join a team solving some of the hardest problems in physical AI - autonomy, reliability, and real-world deployment at national scale - with a product already trusted by Fortune 500 enterprises across retail, manufacturing, logistics, and distribution. This is a rare opportunity to own the operational backbone of a category-defining robotics company at the inflection point of its growth.