About the Role:

We are seeking an experienced Engineering Manager to lead our talented team of engineers building state-of-the-art, generative AI-powered SaaS solutions for enterprise finance. You'll manage a team of full-stack engineers working at the intersection of cutting-edge AI technology and practical enterprise solutions, driving both technical excellence and business impact in the FinTech space.

Key Responsibilities

Technical Leadership: Lead, mentor, and grow a high-performing team of 6-10 full-stack engineers. Provide technical guidance on architecture, design, and development of cloud-native SaaS applications integrating advanced AI/ML features.

Product Delivery: Own the end-to-end delivery and technical execution of our core product areas, ensuring robust, secure, and scalable systems that exceed customer expectations.

Collaboration: Partner closely with Product, ML/AI, and Business stakeholders to understand requirements, prioritize work, and deliver solutions aligned with the company roadmap.

Innovation & Best Practices: Champion engineering best practices,



code quality, CI/CD, DevOps, and the use of modern development methodologies (Agile, TDD, code reviews, etc.), including adoption of new AI tools and frameworks.

Operational Excellence: Ensure reliable operations, monitoring, and maintenance of cloud services (AWS), with an emphasis on security, multitenancy, and high availability. Team Development: Recruit talented engineers and foster a culture of learning, creativity, and ownership. Provide mentorship, feedback, and growth opportunities to team members.

Stakeholder Communication: Clearly communicate project status, technical direction, and risks to leadership and cross-functional partners. Should exhibit a energetic, energetic approach and consistently demonstrate strong responsiveness.

Qualifications

2+ years of experience managing engineering teams delivering SaaS products, ideally in B2B/enterprise software.

10+ years of hands-on sof

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