Posted on: 30/01/2026
Job Title : Engineering Manager
Experience : 6- 8 yrs
Location : Pune (remote possible)
Must Have :
- Cloud Architecture
- Design Pattern
- Delivering Timelines
- Data Structure
- Multi Threding
About the Role :
We are looking for an experienced Engineering Manager with a strong product development mindset to lead the design, development, and evolution of our SaaS platform. This role is central to shaping our AI-driven recommendation agents, working closely with product, data, and business stakeholders to deliver high-impact solutions in the procurement space.
Key Responsibilities :
- Lead and manage the design, development, and delivery of SaaS products with a focus on scalability, reliability, and performance.
- Play a critical role in defining and enhancing our AI Agent vision, particularly around special recommendations and intelligent automation.
- Collaborate cross-functionally with Product, Data, Design, and Business teams to align engineering efforts with company goals.
- Translate complex technical concepts into clear, actionable insights for non-technical stakeholders.
- Establish engineering best practices, including code quality, architecture standards, and development processes.
- Mentor and support engineers, fostering a culture of ownership, innovation, and continuous improvement.
What Youre Awesome At :
- Developing and deploying AI Agents and intelligent systems.
- Leading teams through complex product development challenges.
- Balancing technical excellence with real-world product and business needs.
- Communicating clearly and effectively across technical and non-technical audiences.
Required Skills & Experience :
- Proven experience leading SaaS product design and development teams.
- Strong background in modern software engineering practices and architectures.
- Experience building or integrating AI-powered features, recommendation systems, or agent-based solutions.
- Excellent communication and stakeholder management skills.
Nice to Have :
- Prior experience working with procurement technology SaaS companies or similar enterprise platforms.
- Exposure to AI/ML systems within spend management, sourcing, or procurement workflows.
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