Do You Make the Cut?
As an Engineering Manager, you will be responsible for:
- Lead a team of Backend, Front end and QA engineers in developing conversational AI products
- Collaborate with product managers, designers, and other stakeholders to define technical requirements and ensure alignment with the company's goals
- Oversee the entire product development process, from design to deployment, and ensure timely delivery of high-quality products
- Provide technical guidance and mentorship to the engineering team
- Manage the recruitment, hiring, and onboarding of new team members
- Stay up-to-date with the latest trends and technologies in conversational AI and related fields
- Ensure the engineering team follows best practices and adheres to the company's engineering standards
- Collaborate with other technical teams to ensure seamless integration with other company products and services
Requirements
- Possess a strong sense of self-motivation and the ability to learn quickly.
- Should have 10+ years of Industry experience
- Embrace a growth mindset and demonstrate emotional maturity in all interactions.
- Passionate about the possibilities of AI in the banking sector.
- Have a proven track record of success in a startup environment.
- Exceptional problem-solving abilities and a proactive approach to identifying ways to improve solutions.
- Ability to work in a fast-paced environment while managing multiple priorities.
- At least 3 years of experience delivering scalable, complex technical products in a startup environment.
- Strong experience mentoring junior and senior developers in best practices and providing guidance on implementation strategies.
- Expertise in JavaScript and Node.js, including hands-on experience with Node.js frameworks such as Express.js, Hapi.js, Koa.js, and NoSQL and Relational databases.
- Proficiency in unit testing and Test-Driven Development (TDD), with hands-on experience in Mocha or other Javascript testing frameworks.
- Strong understanding of real-time interactions (web sockets, long-polling, server-sent events) and experience designing and implementing low-latency, high-availability, and performance applications.
- Knowledge of security and data protection best practices.
- Experience working in an agile team environment and proficiency with code versioning tools such as Git.
- Technical capabilities to guide and unblock team members, and ensure the successful delivery of complex technical products.
- Preferred experience in developing Enterprise SaaS products.