You will lead a team of applications engineers and technicians to manage end-to-end AI computer vision deployments across multiple manufacturing sites. This role involves building operational playbooks, managing customer expectations, and translating field feedback into product roadmap improvements.
For this role, we are hiring people that speak fluent Chinese and are able to travel regularly to Shanghai, Shenzhen, Nantong, and possible Vietnam and Malaysia as well.
Overview.ai is one of the fastest growing US startups in the AI space. Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
Why this role is different
Our demand is exploding in the possible way, and you will help deliver that value to customers and help us grow even more.
You’ll lead a team of applications engineers (vision, controls, mechanical) and technicians to deliver end-to-end deployments—from “PO signed” to “system stable in production” to “human inspectors removed.” This is the role where execution becomes revenue, and revenue becomes the next wave of growth.
If you’ve thrived in high-tempo manufacturing environments (Foxconn / CATL / BYD / Luxshare / Tier-1 EMS), you’ll recognize the pace—and you’ll enjoy the satisfaction of building a world-class deployment engine instead of getting buried by firefighting.
What you’ll own
1) Deployment outcomes at scale
● Own the delivery of deployments across multiple factories and lines: schedule, staffing, readiness, execution, stabilization.
● Drive deployments to the finish line: stable inspections, acceptance criteria met, and clear handoff to customer operations.
● Build repeatable playbooks that reduce time-to-production and increase customer self-sufficiency.
2) Team leadership (hire, train, operate)
● Lead and grow a high-performance field team: applications engineers + technicians across regions.
● Set standards for execution: daily/weekly cadence, escalation paths, documentation, and quality bars.
● Coach your team to be fast, calm, and effective under pressure—especially when production is on the line.
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