Senior Engineering Manager

Simplify Healthcare; Pune District; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A healthcare technology firm is seeking a Senior Platform Product Manager to lead the strategy and execution of their AI/ML-powered platform. The role involves defining the platform roadmap, integrating advanced AI/ML capabilities, and collaborating with engineering and data science teams to ensure a scalable and secure platform. The ideal candidate will have 14+ years of experience, with strong capabilities in Microsoft technologies and product management in a SaaS environment. This position is located in Maharashtra, India.

Qualifications

• 14+ years of total experience with 5+ years in product management.
• 3+ years managing platform or infrastructure products in a SaaS environment.
• Strong experience with AI/ML technologies.

Responsibilities

• Define and prioritize platform roadmap aligning with company goals.
• Oversee integration of AI/ML capabilities into the platform.
• Design and deliver scalable APIs and microservices using Microsoft technologies.

Skills

AI/ML technologies

Microsoft tech stack

Cloud architecture

APIs

Microservices

DevOps practices

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure

.NET

SQL Server

Power Platform

Azure DevOps

Job description

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.
• Bachelor’s degree in computer science, Engineering, or a related technical field (Master’s or MBA preferred).