Engineering Manager

Company: Client of SourcingXPress

Website: Visit Website

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Series B

Industry: FinTech

Salary Range: ₹ 60-90 Lacs PA

Job Description

This is a permanent role with one of the Series B funded startup in Fintech - A valued client of SourcingXPress.



About The Role

Our client is 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. Youll 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.
  
  

Required Qualifications & Skills

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

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.
  
  

About The Client

Our client is an AI-driven SaaS automation company focused on transforming corporate finance operations. Their platform automates back-office processes across Accounts Payable and Accounts Receivable, handling tasks, analytics, and communications with high accuracy and efficiency.

Leveraging natural language processing, artificial intelligence, and machine learning — including proprietary small language models and commercial LLMs — the platform removes repetitive manual effort while automating complex

finance workflows and providing real-time visibility into cash performance.

Finance and accounting teams use the solution to accelerate business outcomes, improve operational resilience, reduce attrition, and gain faster insights — all without heavy IT involvement.

Founded in 2019 and backed by leading global investors, the company builds intelligent AI teammates that combine analytical orchestration of financial and audit workflows with conversational AI, delivering measurable value to

enterprise finance teams.

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