ManageArtworks
Engineering Manager
Skills
3 months ago
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Important information
Contract type:
Permanent
Location:
Chennai, Tamil Nadu, India
Work mode:
Onsite
Published on:
8 August 2026
What they need
About Us We help Pharma, Food and Cosmetic companies in managing their packaging and labeling assets. Our ManageArtworks suite of products help our customers bring their products faster to the market, reduce errors in labeling and help them be compliant to internal and external regulatory requirements.
You will be responsible for building and leading a high-performing engineering team across the full technology stack. You will collaborate closely with cross-functional teams to define, develop, and deliver new product features and enhancements.
What you will do
- Manage, build and mentor a talented engineering team
- Oversee product development lifecycles, including task allocation, release management and DevOps
- Collaborate closely with cross-functional teams to define and deliver new products and enhancements
- Architect and scale the product infrastructure to support a growing user base
Requirements
- 15+ years of experience developing SaaS products in an enterprise software environment
- Proven track record of building and scaling complex web applications
- Experience architecting and leading the development of a product from the ground up and the engineering around it
- Gone through multiple release cycles and scaled the application across 1000's of users on a multi-tenanted system.
- In-depth understanding of full-stack development (front-end, middleware and database - SQL, .NET and JavaScript etc)
- Experience in web systems architecture, design, development, network and server management on cloud infrastructure (Azure)
- The ability to articulate and speak about technology in a forum
- Ability to pick up a new domain
- Outstanding communication, interpersonal and leadership skills
- Excellent organizational, time-management and problem-solving skills
- Effective negotiation and vendor management skills
- Experience with Computer vision libraries, Deep Learning models and the ability to guide product development using these technologies
- Experience in a product company / startup (preferred)
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