Senior Engineering Manager

Senior Engineering Manager

Work Location - Magarpatta City, Pune

Role:

As a Senior Platform Product Manager, you will lead the strategy, roadmap, and execution of our AI/ML-powered platform built on the Microsoft technology stack. You will work closely with engineering, data science, and product teams to deliver a scalable, secure, and extensible platform that powers our SaaS products and enables third-party integrations. Your technical expertise, strategic vision, and ability to collaborate with stakeholders will be critical to driving platform adoption and innovation.

Key Responsibilities:

• Define and prioritize the platform roadmap, aligning with company goals, customer needs, and AI/ML innovation trends.
• Oversee the integration of AI/ML capabilities (e.g., Azure Machine Learning, Cognitive Services) into the platform to enable intelligent features and services.
• Collaborate with engineering teams to design and deliver scalable APIs, microservices, and infrastructure components using Microsoft technologies (e.g., Azure, .NET, Azure AI, Power Platform).
• Partner with internal product teams, external developers, and customers to gather requirements, define platform capabilities, and ensure seamless integration.
• Ensure the platform is robust, secure, and scalable to support growing usage, leveraging Azure services like Kubernetes, Cosmos DB, and Azure Functions.
• Drive the creation of developer-friendly tools, SDKs, and documentation to enhance platform adoption by internal teams and external partners.
• Work with data scientists, UX designers, and product managers to align platform capabilities with customer-facing product needs.
• Define and track key platform metrics (e.g., API usage, adoption, latency, uptime) to measure success and identify areas for improvement.
• Balance short-term feature delivery with long-term platform stability, managing technical debt while exploring new AI/ML capabilities.
• Stay informed on industry trends, Microsoft tech advancements, and competitor platforms to maintain a competitive edge.

Requirements:

• Total 14 + Years and at least 05+ years of product management experience, with at least 3 years managing platform or infrastructure products in a SaaS environment.
• Proven experience working with AI/ML technologies (e.g., Azure Machine Learning, TensorFlow, PyTorch, or similar).
• Strong technical background with hands-on experience in the Microsoft tech stack (e.g., Azure, .NET, SQL Server, Power Platform, Azure DevOps).
• Deep understanding of cloud architecture, APIs, microservices, and DevOps practices.
• Familiarity with AI/ML frameworks and tools, particularly Azure AI services (e.g., Cognitive Services, Azure ML).
• Experience with Azure services such as Kubernetes, Cosmos DB, Azure Functions, or Event Hubs.
• Proficiency in defining API specifications (e.g., REST, GraphQL) and working with SDKs.
• Bachelors degree in computer science, Engineering, or a related technical field (Masters or MBA preferred).