Engineering Leader

Title: Engineering Manager

Location: Hyderabad, Telangana (India) (3 days hybrid in office)

Employment Type: Full-time

About Company

We're an AI-driven SaaS automation provider for corporate finance that automates back-office business processes involving tasks, analytics, and responses in Accounts Payable and Accounts Receivable. By leveraging natural language processing, artificial intelligence, and machine learning, based on proprietary small language models and commercial LLMs, our product removes friction and repetition from mundane tasks while automating complex functions and providing real-time visibility into cash performance.

Founded in 2019 and backed by Innovius Capital, Dell Technologies Capital, Sentinel Global, Venrock, Workday Ventures, NeoTribe Ventures, Engineering Capital, Firebolt Ventures, and KPMG Ventures, we build AI TeamMates that drive intelligent automation by combining fine-grained analytical orchestration of a company's typical financial and audit workflows with conversational AI, delivering rapid value to the finance/audit back office.

Our Client has received numerous awards including:

CBInsights Fintech 100 - 2025

Global Excellence Awards - Best AI-Driven Finance Automation Platform - 2025 Winner

Q3 2024 Constellation ShortList for AI-Driven Cognitive Applications for the fifth year in a row.

The Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024

Named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports.

About the Role

Join our mission-driven team at to transform financial back-office operations using advanced AI and ML. 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, multi-tenancy, 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 dynamic, 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 software development work, including leading complex projects. Proven experience with modern full-stack (Node.js, React.js/TypeScript, Python) and AI/ML-enabled solutions (LLMs, generative AI, prompt engineering).

Expertise integrating with AWS services (or any other commercial Cloud services)

Strong background in system design, data modeling (RDBMS/NoSQL), and scalable microservices architectures.

Demonstrated ability to attract, mentor, and lead high-performing and geographically distributed engineering teams.

Strong project management, agile processes, and product delivery track record.

Excellent communication and collaboration skills across technical and business audiences.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field from a reputed institute).

Preferred Qualifications

Experience in FinTech or Financial domain. Familiarity with emerging AI tools and technologies on GenAI.

Track record of building and scaling engineering organizations at startup/growth-stage companies

Familiarity with enterprise integrations (SSO, email, etc.) and multi-tenant SaaS environments.