Software Engineering Lead / Engineering Manager

About the Company

Overview.ai is transforming manufacturing quality control with an advanced edge-enabled AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks—from subtle assembly verification to defect detection and orientation checks—delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines.

Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our cameras enable faster throughput, reduced scrap, and lower inspection costs—without the complexity and expense of traditional vision systems.

As our engineering organization continues to grow, we are adding an additional Software Engineering Manager to help lead and develop a sub-section of the broader engineering organization. This role is designed to complement our existing engineering management structure and will work closely with the current engineering leadership team to ensure effective team management, execution, and continued organizational growth.

We are seeking a Software Engineering Lead/Engineering Manager to lead and grow a team of engineers, while coordinating closely with teams in Brazil and the US. You will oversee execution of the technical roadmap for current and future products, manage and develop a team of remote and hybrid engineers, and work seamlessly across time zones to deliver world-class industrial AI products. This is a hands-on leadership role with high visibility and significant impact on the future of our products and engineering organization. To be effective in this role, you should have a strong technical background and be comfortable diving deeply into technical details and understanding complex systems, even when you are not directly implementing the work yourself.

Responsibilities

Roadmap Execution

Work with leadership to prioritize and manage the technical feature roadmap for both current and next-generation AI vision products.

Team Leadership

Lead, motivate, develop, and manage a team of remote and hybrid engineers, including cross-site collaboration with Brazil and remote-based teams.

Release & Process Management

Set up and maintain release structures, manage sprints, and track performance to ensure predictable, high-quality deliveries.

Requirements & Communication

Define requirements, set context and priorities, and report progress to leadership and the engineering organization.

Cross-Time-Zone Collaboration

Work seamlessly across multiple time zones (Brazil, Taiwan, US West Coast).

Travel

Periodically travel to support team members and/or work with customers.

Culture & Performance

Align very bright, high-performing individuals in a fast-paced startup environment, fostering a culture of excellence and ownership.

Requirements

Qualifications

Required:

3+ years of experience managing a team of software or firmware engineers at a high-growth company.

7+ years of work experience in a software company.

Strong track record as a software engineer delivering production software products, ideally in embedded systems, computer vision, or industrial automation.

Strong technical depth and the ability to understand and engage deeply with complex technical details, even when not directly implementing the work.

Experience in setting up release structures, managing sprints, and measuring engineering performance.

2+ years of experience in defining requirements, setting priorities, and reporting progress for leadership and teams.

Self-starter comfortable working across remote teams, managing ambiguity, and making decisions with incomplete information.

Strong English communication skills, both written and verbal.

Preferred (Pluses):

Experience creating processes in a startup or rapid-growth setting.

Experience working in China and Mandarin proficiency.

Why Join Overview

Lead a key global engineering hub in Taiwan, working directly with teams across APAC, LATAM, and the US.

Work alongside and in partnership with existing engineering leadership as the organization continues to scale.

Shape products that are transforming manufacturing quality worldwide.

Competitive compensation, equity, and benefits in a fast-growing AI company.