Why GoComet?
GoComet is a dynamic SaaS start-up that provides AI-powered transportation visibility solutions to revolutionize the trillion-dollar logistics sector. At GoComet, we are revolutionizing the logistics sector one day at a time, and every team member is committed to making it a reality.
As a Frontend Tech Lead at Gocomet, you will play a critical role in shaping the user interface and experience of our products. You will work in a collaborative environment, driving the development of responsive, efficient, and visually appealing web applications. This is an opportunity to leverage your expertise in front-end development and contribute to our mission of creating exceptional user interfaces.
Key responsibilities:
1. Provide technical leadership
2. Enforce coding standards and quality
3. Architect scalable frontend solutions
4. Manage frontend project tasks
5. Mentor and train team members
6. Optimize performance and user experience
7. Stay current with emerging technologies
8. Maintain transparent communication
9. Work closely with program managers and designers to create engineering plans including timeframes, milestones, and quality, reliability, and performance goals
Benefits of the role include:
1. Collaborative and innovative work environment
2. Opportunities for professional growth and development
3. Cutting-edge technology stack and tools
4. Make a significant impact on our products and the user experience
5. Join a team of passionate, creative, and driven individuals
6. 5 days working
7. Flexible working hours
8. Health medical insurance coverage with family, etc.
GoComet is the world's best freight quote comparison platform used by enterprises to make freight procurement efficient and fast. As a technology company, we are revolutionizing the $40 billion international logistics space by eliminating inconsistencies in the procurement process at various stages of procurement like RFQs, quote comparisons, human-dependent negotiations, and insufficient disclosure of terms. Our enterprise SaaS product that is currently used by large manufacturing conglomerates combines the power of data science with progressive machine intelligence to drive sharp reverse auctions bringing out the best possible end-to-end rates for shipments.
