Here’s a secret between you and me: even the world’s largest manufacturers, companies like Tesla and Toyota, waste billions of dollars every year making products with quality issues. Building high-quality things at scale is incredibly hard. It doesn’t just happen because you hire smart people or buy good machines. It requires seeing problems early, understanding them deeply, and acting in real time, something factories were never designed to do.

At Overview.ai, we’re changing that. We build custom hardware, edge AI, and software systems that give manufacturers real visibility into how their products are actually being made. Our technology helps catch defects earlier, reduce waste, and fundamentally improve how factories operate. This work matters, not just for our customers, but for keeping American manufacturing competitive in a world that’s moving faster every year.

Location: China / Taiwan / Hong Kong / (San Francisco with 75% travel to Asia)
Must be fluent (native) in Mandarin and English

Why I’m hiring this role

Manufacturing at scale is chaotic. Growing fast makes it even harder. I’m looking for someone who can step into that chaos, bring order where it matters, and execute relentlessly.

This role is for a technical leader who leads from the front. Someone who can manage people, yes, but more importantly can do the work, coach others by example, and raise the bar across the team. Process matters, but outcomes matter more.

You will own the technical success of our largest American customers operating factories in China, representing tens of millions in re-occurring revenue. You’ll work directly with me, travel heavily, and play a central role in scaling Overview.ai across Asia.

What you’ll do

• Own successful deployment of Overview.ai systems across Asia, from pilot to full production
• Lead and coach a team of 10+ application engineers across China
• Take ambiguous, fast-moving customer problems and turn them into executed solutions
• Be on factory floors regularly, working hands-on with customers and your team
• Train and coach engineers on fundamentals, not just checklists
• Set technical standards by doing, not delegating
• Partner closely with sales, product, and HQ engineering to win and expand large accounts
• Turn on-the-ground learnings into better deployments, better training, and better product

What you need to be great at

This is a hands-on technical leadership role, not a desk job.

You should be comfortable teaching and coaching others on things like:

• Designing and validating jigs and fixtures
• Optics fundamentals, lenses, lighting, and where to source them
• Deep manufacturing line experience (automotive, electronics, precision manufacturing, etc.)
• Rapid prototyping and problem-solving under real production constraints
• Core computer vision fundamentals and inspection logic
• Debugging real-world systems on noisy, high-speed factory lines

If you’ve been a manufacturing manager, applications lead, or technical owner in a fast-growing environment, that’s a strong plus.

Who this role is for

• Native Mandarin + fluent English is non-negotiable
• Technically strong, but biased toward execution over theory
• High energy, high ownership, and comfortable with heavy travel
• A leader who earns trust by doing the hardest work themselves
• Someone who wants real responsibility, not a title
• Interested in learning directly from the founder while building something meaningful

Why this role is special

• Direct exposure to how major industrial systems are sold, deployed, and scaled
• Massive growth opportunity as Overview.ai expands across Asia
• Real ownership over customers, revenue, and team outcomes
• A chance to help solve one of the hardest problems in manufacturing at global scale

If you want a safe, slow-moving role, this isn’t it.
If you want to build, lead, and execute at speed, let’s talk.

We build edge AI inspection systems that run directly on GPU-enabled industrial cameras and deploy on real manufacturing lines. The hard problems are end-to-end and production-grade: designing low-latency inference pipelines, deterministic triggering and buffering, on-device data capture for fast debugging, safe/atomic updates, and fleet-scale rollout across many sites. Our team spans web developers (building local configuration and monitoring UIs that run on the camera), AI/ML engineers, embedded + firmware engineers, and AI infrastructure engineers who own training pipelines, data/versioning, deployment tooling, and reliability.