Manager Product Software Engineering

wk; India; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

wk is seeking a Manager, Product Software Engineering to lead a team that designs, builds, and delivers advanced AI-first systems. The role combines hands-on technical leadership with people management to drive growth and high-impact outcomes.

You will own architecture, development, and production operations for intelligent platforms, guiding cross-functional teams and stakeholders to deliver secure, compliant AI-driven solutions at scale.

Qualifications

• Experience with .NET technologies, C#, ASP.NET, and Python is a plus.
• Hands-on with RESTful API design, microservices, and scalable architectures.
• Proven ability to lead engineering teams and deliver AI-first platforms with high reliability.

Responsibilities

• Own end-to-end technical delivery of AI-first platforms including architecture, development, deployment, and production operations.
• Lead design and delivery of cloud-native AI solutions with emphasis on scalability and customer impact.
• Resolve complex technical and AI-specific challenges with long-term, resilient solutions.
• Collaborate with product, domain experts, and stakeholders to translate needs into secure, compliant AI solutions.
• Mentor engineers, conduct performance reviews, and drive hiring and growth.
• Align technology decisions with business goals, balancing speed, quality, and governance.
• Ensure timely feature delivery, manage technical debt, and maintain quality across releases.
• Define and drive AI architecture standards, protocols, and best practices.

Skills

AI/GenAI leadership

Team leadership

RESTful APIs

Cloud architecture

Web technologies

Tools

Azure DevOps

VS Code

GitHub Copilot

Docker

RabbitMQ

Kafka

Azure

ReactJS

TypeScript

Job description

Manager, Product Software Engineering

Job Description

Manager, Product Software Engineering is responsible for designing, developing, and delivering advanced AI-first systems while leading a team of engineers to build scalable, high-performance applications.

The role owns end-to-end delivery of intelligent platforms -including architecture, development, and production operations-while ensuring predictable delivery, quality, and team productivity.

This role operates in a 70-30 capacity (hands-on technical leadership and team management), combining expertise in AI/GenAI tools with the ability to guide, mentor, and drive execution across a team.

In addition to hands-on system design, this role provides technical direction, people leadership, and delivery management, enabling teams to build secure, compliant, and high-impact AI-driven solutions.

The role may also guide cross‑team delivery by coordinating complex dependencies, driving architectural decisions, and ensuring predictable, high‑impact outcomes within an Agile, experimentation‑driven development environment

The role partners closely with product management, domain experts, and cross‑functional stakeholders to translate complex business and regulatory needs into scalable, secure, and compliant technical solutions , while reviewing and evolving system designs and technical documentation to ensure quality, maintainability, and alignment with organizational standards.

Job Responsibilities

• Own end-to-end technical and delivery execution of intelligent platforms, ensuring alignment with timelines, quality standards, and business outcomes including system architecture, development, deployment, and continuous improvement in production environments
• Lead the design and delivery of AI-first, cloud-native solutions, ensuring high quality, scalability, reliability, and strong customer impact across mission‑critical systems
• Drive the resolution of complex technical and AI-specific challenges , performing deep system analysis and implementing resilient, long‑term solutions
• Partner closely with product management, domain experts, and stakeholders to translate complex business and regulatory needs into secure, compliant, and explainable AI solutions.
• Mentor, coach, and manage engineers through structured feedback, goal setting, and performance management , fostering a high-performing engineering team
• Apply strong business acumen to ensure technology decisions align with strategic goals , driving innovation while balancing quality, speed, and operational excellence.
• Ensure on‑time delivery of features and releases , balancing speed, quality, and technical debt management
• Define and drive AI architecture standards , frameworks, and best practices covering GenAI, RAG pipelines, agentic workflow etc.

Team Leadership & Delivery Management

• Lead and manage a team of engineers, ensuring high performance, accountability, and continuous growth
• Own sprint delivery, capacity planning, and execution predictability across the team
• Conduct performance reviews, career development discussions, and mentoring
• Drive hiring, onboarding, and skill development initiatives

Technical Skills:

• Core Tech stack: Expertise in .NET Technologies, C#, ASP.NET, .NET Core, OOP , and Python (optional/ good to have) for Web and GenAI solutions.
• Design and implement RESTful APIs and microservices using ASP.NET Core.
• MUST HAVE - Hands‑on with MS SQL Server , VS Code, Visual Studio 2022, Azure DevOps, and Agile delivery.
• Front End Skills MUST HAVE - Develop dynamic, responsive UI components using ReactJS (19).
• MUST HAVE - Write clean, modular TypeScript, JavaScript, HTML5, CSS, Bootstrap ,
• GOOD TO HAVE - Ensure cross-browser compatibility, responsiveness, and optimized UI performance.
• AI SDLC: MUST HAVE - Proficient with GitHub Copilot (IDE/CLI/PR review) for code generation, testing, and standards compliance.
• MUST HAVE - Proficient in building Agentic Skills / Copilot agents for automated PR triage and secure coding enforcement, Token Optimization.
• MUST HAVE - Proficient in implementing features using SDD ( spec‑kit, Open spec) or equivalent frameworks
• Design Architecture and Quality: Strong experience with Agile/Scrum, TDD , and unit testing.
• Application of design patterns and design principles to solve software design challenges .
• Develop web applications with excellent usability and user experience.
• GOOD TO HAVE - Experience with RabbitMQ or Kafka for event‑driven architectures
• Optimize backend performance and ensure high availability .
• Cloud and DevOps: MUST HAVE - Deploy applications on Azure OR AWS
• MUST HAVE - Build CI/CD pipelines using GitHub Actions, Azure DevOps, or Jenkins
• MUST HAVE - Work with Docker and AWS Elastic container (EC2) for containerization and orchestration, S3 Bucket
• MUST HAVE - Azure PaaS experience: Azure AD, App Services, Azure SQL, Service Bus, Blob Storage.
• GenAI & Orchestration (Good to have): Good understanding of modern GenAI and Agentic AI technologies, including AI