Technical Project Manager

Posted 5 Days Ago
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Bengaluru South, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • Automotive • Computer Vision • Industrial
AI-powered visual inspection software helping manufacturers achieve zero-defect production.
The Role
Manage end-to-end AI-powered manufacturing projects, including planning, tracking, risk management, budgeting, deployment, and completion. Coordinate internal teams, external system integrators, resources, and stakeholders. Provide status updates, resolve product and network issues, and conduct customer visits for project sign-off and handover. The role requires experience with machine vision quality inspection systems, factory lines, SPMs, and automation workflows.
Summary Generated by Built In

About the Role:


At SwitchOn, our cutting-edge systems capture images from complex manufacturing lines and run DeepInspect to detect defects with over 99% accuracy. As a startup, delighting customers with lightning-fast execution is one of our core differentiators. The role requires you to execute complex AI-powered projects in conjunction with multiple stakeholders inside and outside the organization to deliver the projects on time. 


What will you be doing on a day-to-day basis? 


1. End-to-End Project Management – Oversee the complete project lifecycle including initiation, planning, tracking, risk management, and ensuring timely completion within budget by collaborating with internal product teams and external system integrators.
2. Stakeholder & Resource Coordination – Provide regular project status updates to stakeholders, independently manage resource allocation, and drive alignment across teams to ensure smooth execution.
3. Deployment & Issue Resolution – Lead deployment-related activities, resolve recurring or sporadic product/network issues, and conduct customer visits for project sign-off and handover.


Requirements

1. Project Management Expertise – 4+ years of experience in managing projects, with hands-on knowledge of tools like JIRA, Zoho Projects, Trello, and similar platforms.


2. Domain Knowledge in Manufacturing – Proven experience delivering machine vision–based quality inspection systems or automation projects, with strong understanding of factory lines, SPMs, and automation workflows.

3. Collaboration & Communication – Excellent communication skills with the ability to work effectively with cross-functional teams and stakeholders.

Benefits

Be part of a fast-growing, seed-funded deep-tech startup backed by leading investors (Pi Ventures, Axilor, Chennai Angels, etc.), with strong opportunities to accelerate your career growth into leadership roles.


Innovation: Be a part of a company that is transforming the manufacturing industry with cutting-edge technology.

Growth: Opportunity for professional growth and career advancement in a rapidly growing startup.

Impact: Contribute to a product that makes a real difference in quality and efficiency in manufacturing.




Skills Required

  • 4+ years of experience managing projects
  • Hands-on experience with JIRA, Zoho Projects, Trello, or similar project management platforms
  • Proven experience delivering machine vision-based quality inspection systems or automation projects
  • Strong understanding of factory lines, SPMs, and automation workflows
  • Excellent communication and cross-functional collaboration skills
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The Company
Bengaluru, Karnataka
78 Employees
Year Founded: 2017

What We Do

SwitchOn (Abee Research Labs Private Limited) is a Bengaluru-based AI software company founded in 2017, helping manufacturers eliminate defects through AI-powered visual quality inspection. At the core of SwitchOn's offering is DeepInspect®, a SaaS-based AI visual inspection platform purpose-built for high-speed production environments. DeepInspect automates the detection of visual defects, performs dimensional checks and supports thermal inspection replacing slow, error-prone manual inspection processes and outdated rule-based vision systems. What sets DeepInspect apart is its unique training approach: it requires only ~200 good product images to get started no defect samples needed. A new inspection model can be trained and deployed in approximately 45 minutes, compared to weeks or months with traditional systems. Once live, DeepInspect delivers 99.5% real-world inspection accuracy at throughputs of 1,100+ units per minute, making it viable for even the most demanding production lines. SwitchOn serves manufacturers across Automotive, Pharma, Electronics and FMCG industries, with deployments spanning 50+ plants across India, North America, Europe and Southeast Asia. To date, DeepInspect has inspected over 1 billion products globally, saving thousands of manual inspection hours and supporting customers' zero-defect manufacturing goals. Customers include global enterprises such as Unilever, ITC, SKF, Diageo and Sansera Engineering. The platform integrates with existing camera hardware and supports compliance with SOC 2, ISO 9001:2015, CE and 21 CFR Part 11 standards, making it enterprise-ready from day one. Backed by Axilor Ventures and Pi Ventures and recognized by NASSCOM Emerge 50, Google for Startups AI First and NVIDIA Inception, SwitchOn is a Series A-funded company with a 100+ person team and ~$1.5M ARR, scaling rapidly with marquee manufacturing customers worldwide.

Why Work With Us

At SwitchOn, you work on real Industrial AI solving defect elimination for global manufacturers like Unilever, P&G & Tata. We're ownership-driven, fast-paced & transparent with equity benefits, full health insurance & company meals. Join an early-stage team converging IoT & AI to transform manufacturing.

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