Engineering Manager

Responsibilities:

• Lead high-performance technology teams.
• Lead from the front and lead by example.
• Hire and develop talented leads and engineers.
• Own and drive business features into technology requirements.
• Work closely with product managers and customers to align technology choices with business requirements.
• Ensure high-quality and timely release and support of products.
• Actively guide teams to evolve architecture and design of products and APIs.
• Stay updated on emerging technologies and apply them.
• Be a catalyst and drive continuous improvement of engineering practices and improve engineering efficiency.
• Actively guide teams to evolve design reviews, code reviews, and troubleshooting.
• Be an evangelist for high-quality products and a driver of best practices.
• Key stakeholders include the product leads of various products and leads of various teams across the engineering, data science, analytics, and trading departments.

Requirements:

• 10+ years' experience bringing innovative products to the market.
• Bachelor's or master's degree in engineering.
• Experience building multi-tier web applications and experience working on all layers of the stack is a plus.
• Excellent understanding of object-oriented design and design patterns.
• Excellent grasp of one or more languages, including an OO language.
• Experience with cloud technologies, SaaS, PaaS, and IaaS.
• Good understanding of NoSQL technologies and distributed systems.
• Experience with cloud environments such as AWS, Azure, or GCP.
• Prior experience with microservices-based architectures is a must.
• Strategic Leadership: Drive the technical strategy and roadmap for developing and integrating innovative generative AI features into our core product suite, from ideation to production.
• AI Technical Oversight: Oversee the architecture and implementation of scalable, reliable systems that leverage GenAI, making key decisions on using third-party APIs (e. g., OpenAI, Gemini).
• Cross-Functional Collaboration: Partner closely with product, data science, and UX teams to define product requirements, establish evaluation metrics, and ensure the responsible and ethical deployment of AI and engineering products.
• Internalized and practiced agile best practices.
• Leadership skills to build high-performance teams and continuously raise the bar on innovation, quality, and efficiency.
• Team Enablement: Lead, mentor, and grow a high-performing engineering team focused on building products powered by cloud infrastructure, microservices, big data operations, and large language models (LLMs), guiding them through the unique challenges.
• Excellent analytical and problem-solving skills.
• Innovative in terms of product, technology, and processes.
• Stay up to date with the latest technologies.
• Participate in the formulation of the technical roadmap and strategy.
• Collaborates with both internal and external stakeholders and leads cross-functional teams in the development of the roadmap.
• Good communication and presentation skills.