---
title: 'Applications Manager at Overview Corporation'
canonical: 'https://feeny.ai/job/applications-manager-overview-corporation-shenzhen-y29y7tyqf81s'
type: 'job'
last_seen: '2026-09-06'
---

# Applications Manager at Overview Corporation

- **Company:** Overview Corporation
- **Location:** Shenzhen, China
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/overview/8c201bc0-af6e-42d7-b1c7-c1ed264117ec

## Job description

About Overview.ai http://Overview.ai

Overview.ai http://Overview.ai is one of the fastest growing US startups in the AI space. Overview.ai http://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, 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.

1. 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.

1. Customer leadership (scope, expectations, urgency)

- Be the on-the-ground leader with customer stakeholders: process, quality, automation, and factory management.
- Manage scope ruthlessly but professionally: protect outcomes, prevent scope creep, and keep the project moving.
- Drive urgency: align customer resources, line access, sample parts, and decision-making so deployments don’t stall.

1. Process and systems building

- Create the operational infrastructure that makes deployment scale:
- onboarding + training frameworks, checklists, commissioning templates, project dashboards, post-mortems, and continuous improvement loops
- Track what matters: deployment cycle time, blockers, time-to-stability, acceptance rate, expansion readiness.

1. Product feedback that changes the roadmap

- Translate field pain into product improvements that make deployments faster and easier:
- better diagnostics, clearer workflows, installation standards, tooling, documentation, and “self-serve” capabilities
- Work closely with global engineering and product to push changes that remove recurring friction.

-

What success looks like

- Deployments become predictable: faster ramp, fewer surprises, clear ownership.
- Customers trust Overview.ai http://Overview.ai to scale: more lines, more factories, more expansion.
- Your team operates like an elite unit: strong execution, great communication, high morale.
- The product gets better because you turned field reality into roadmap wins

## Who you are

Required

- Proven track record leading complex, multi-site technical deployments in manufacturing environments
- Strong program/project management ability: you can run multiple workstreams, prioritize ruthlessly, and keep people aligned
- Experience leading teams (hiring, training, performance management, developing strong ICs)
- Exceptional communication and stakeholder management (factory floor → customer executives → global teams)
- High ownership, high discipline, high energy; you don’t wait to be told— you drive the outcome
- Fluent Mandarin + strong English (written and spoken) for global coordination and customer exec communication

## STRONGLY PREFERRED

- Experience in high-tempo environments
- Familiarity with AI inspection / machine vision / automation deployments
- Ability to navigate ambiguity, incomplete info, and shifting constraints without losing momentum

## WHAT YOU’LL GET

- A front-row seat at one of the fastest-growing categories in manufacturing: AI inspection at scale
- Massive ownership: your execution directly drives revenue and customer expansion
- A high-caliber global team and direct reporting line to the founder
- Career acceleration and one of the fastest growing US startups.

## About Overview Corporation

## Company Overview
- **One-liner**: Overview Corporation builds AI-powered vision systems for automated defect detection and quality inspection in manufacturing.
- **Entity Type**: Private (Startup; Y Combinator W19 batch)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2019
- **Founders**: Russell Nibbelink, Austin Appel, Xiaoyang Kao

## Core Business
- Primary industry/industries: Industrial AI, Computer Vision, Manufacturing Quality Control, Industrial Automation
- Target customers: B2B – Enterprise manufacturers across automotive, pharmaceutical packaging, electronics, and general industrial sectors
- Mission or purpose statement: "Catch every manufacturing defect in the world"

## Products & Services
- **OVX Inspection Platform**: AI-based quality inspection platform that runs entirely on edge devices, using advanced data augmentation to reduce sample requirements by 10x and training models in under one hour with as few as five images.
- **OV10i AI Vision Sensor**: Compact, smart camera with on-device AI training and inference, local browser-based configuration, and a 3–6 month typical payback cycle.
- **OV20i AI Vision Sensor**: Mid-range AI vision sensor with 200K+ production images storage, on-device training, and connectivity through all major PLC protocols (EtherNet/IP, Profinet, Modbus, OPC-UA, MQTT, HTTP, RS232, Discrete I/O).
- **OV80i High Performance AI Vision System**: GPU-powered high-accuracy edge system (NVIDIA GPU in every unit) for the most demanding inspection tasks, using vision-transformer-based models.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total team of 50+ members, deployed across 30+ cities in 10 countries and 5 continents
- **Notable Investors/Partners**: Y Combinator (Winter 2019 batch); founding team members include former Tesla manufacturing leaders; Forbes 30 Under 30 recognition for the three co-founders
- **Growth Signals**: Rapid global expansion with local teams across 30 cities in 10 countries; deployed in demanding factory environments (automotive connectors, pharmaceutical packaging); achieving 100% defect coverage with 50% reduction in inspection costs and 75% reduction in rework; 0% defect escape rate reported

## Competitive Advantages
- **100% Edge computing** – No cloud dependency, production data never leaves the factory floor, addressing critical security and latency requirements
- **Rapid deployment** – Models trained in under one hour with as few as five images; deploy production systems in hours, not months
- **Hardware + Software integration** – Smart cameras with embedded NVIDIA GPUs and pre-loaded AI software, eliminating need for external compute
- **Open platform** – Compatible with every major PLC protocol, enabling seamless integration into existing factory infrastructure
- **Founding team pedigree** – Deep domain expertise from scaling production and quality systems in demanding factories, including Tesla

## Strategic Focus
- Continue global expansion into new geographies and manufacturing verticals
- Deepen edge AI capabilities for real-time, continuous inference in harsh factory environments
- Shorten time-to-ROI for customers (current target: 3–6 months payback)
- Scale team globally with engineering, science, and field operations talent

## Why Work Here
- **Real-world impact**: Code runs on real production lines 24/7 catching real defects, with metrics tracked in defects caught and scrap reduction, not research benchmarks
- **End-to-end ownership**: Engineers own problems from customer scoping through factory deployment and ongoing monitoring – no product manager layer
- **Ship fast, ship often**: Startup tempo with manufacturing rigor; work hits production lines within weeks
- **Global, remote-friendly culture**: Distributed teams across San Francisco, Austin, Mexico City, São Paulo, Zurich, Taipei, Shanghai and more; work asynchronously across time zones
- **Competitive compensation**: Salary, equity, comprehensive health insurance, 401(k), and generous PTO
- **Learning & growth**: Work alongside former Tesla, Apple, and top-tier manufacturing engineers; sponsorship for conferences, courses, and certifications
- **Solve hard problems**: Real-time AI inference, edge computing, multi-camera systems inspecting thousands of parts per minute in noisy, vibrating factory environments
- **Engineering-first culture**: Small teams, big ownership, direct customer impact

## Sources
1. [overview.ai – Company page](https://www.overview.ai/company/)
2. [overview.ai – Homepage](https://www.overview.ai/)
3. [overview.ai – Careers page](https://www.overview.ai/company/careers/)
4. [Y Combinator – Overview profile](https://www.ycombinator.com/companies/overview)
5. [Ashby – Overview careers page](https://jobs.ashbyhq.com/overview)

## Other roles at Overview Corporation

- [Application Vision Engineer](https://feeny.ai/job/application-vision-engineer-overview-corporation-china-ph77nf5b1w2g) — China
- [Senior Recruiter, China](https://feeny.ai/job/senior-recruiter-china-overview-corporation-shanghai-5jtsvsn9s9fz) — Shanghai, China
- [Applications Engineer](https://feeny.ai/job/applications-engineer-overview-corporation-mexicali-sqd843agteja) — Mexicali
- [Business Development Representative](https://feeny.ai/job/business-development-representative-overview-corporation-bogota-eqy0fk1m4ffk) — Bogota
- [Events & Partnerships Lead](https://feeny.ai/job/events-partnerships-lead-overview-corporation-san-francisco-ct1avmkpvkpx) — San Francisco, CA
- [Senior Product Program Manager](https://feeny.ai/job/senior-product-program-manager-overview-corporation-taipei-vx4jcqe7v44h) — Taipei, Taiwan
- [Senior Full Stack Engineer, GenAI & Web Tools](https://feeny.ai/job/senior-full-stack-engineer-genai-web-tools-overview-corporation-taipei-63a04gdy6jjr) — Taipei, Taiwan
- [Business Development Representative](https://feeny.ai/job/business-development-representative-overview-corporation-remote-ap0c05f7yx3p)
- [AI GTM Operations Lead](https://feeny.ai/job/ai-gtm-operations-lead-overview-corporation-san-francisco-ak7q7mhh9b8d) — San Francisco, CA
- [System Integration Engineer](https://feeny.ai/job/system-integration-engineer-overview-corporation-chengdu-p9g51k8kznj8) — Chengdu