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Staff Product Manager

salary Salary :

₹3,000,000 - 5,500,000 yearly

Job Description - Staff Product Manager

This role is for one of our clients

 

Industry: Software Development

Seniority level: Mid-Senior level

 


Experience: 6+ yrs


Location: Chennai


Job Type: Full-Time


₹30,00,000 - ₹55,00,000 a year



We are seeking a technically strong Product Manager to lead the development of platform capabilities while driving customer-focused outcomes across a cross-functional engineering team. This role is ideal for someone who combines product strategy with technical expertise and enjoys working closely with engineering, AI, and platform teams to deliver scalable, data-driven solutions.


As a Product Manager, you will own the product backlog, define clear product requirements, and collaborate with stakeholders to build innovative platform capabilities. You will play a key role in shaping AI-enabled features, improving system integrations, leveraging data to guide product decisions, and ensuring successful product adoption. This position requires a strong understanding of modern software architecture, APIs, event-driven systems, and AI-powered platforms.





Requirements



Key Responsibilities



  • Own and prioritize the product backlog, creating detailed user stories, acceptance criteria, and feature specifications aligned with business objectives.

  • Partner closely with engineering, AI, and platform teams to deliver scalable, high-quality platform capabilities and technical solutions.

  • Collaborate with infrastructure and integration teams to define APIs, data contracts, and seamless system integrations.

  • Monitor product performance through KPIs, adoption metrics, and customer feedback, driving continuous product improvements.

  • Define and maintain AI platform artifacts, including intent definitions, skill specifications, and policy configurations to support intelligent workflows.

  • Develop and maintain validation scenarios and test datasets to ensure the quality and reliability of AI-enabled capabilities.

  • Support feature adoption by driving change management initiatives, documentation, and user enablement activities.

  • Design and implement workflow automations using integration and automation platforms to improve operational efficiency.

  • Work with RESTful APIs, webhooks, authentication mechanisms, and third-party integrations to support product functionality and troubleshoot integration challenges.

  • Collaborate with data teams to define reporting requirements, analytics instrumentation, and data models for product insights.

  • Facilitate product prioritization, manage stakeholder expectations, and communicate technical trade-offs effectively across business and engineering teams.

  • Contribute to product strategy by identifying opportunities for innovation, scalability, and enhanced customer experience.


What Makes You a Great Fit



  • 6+ years of experience in Product Management, preferably within platform, enterprise software, AI-enabled, or data-driven products.

  • Strong technical understanding of software architecture, APIs, system integrations, and scalable platform design.

  • Experience working closely with engineering teams and interpreting technical specifications, system designs, and data models.

  • Hands-on knowledge of RESTful APIs, webhooks, authentication protocols, and enterprise system integrations.

  • Familiarity with AI technologies, Large Language Models (LLMs), agentic AI concepts, and intelligent workflow platforms.

  • Strong analytical mindset with experience defining product KPIs, measuring success metrics, and making data-driven product decisions.

  • Excellent stakeholder management, communication, and cross-functional collaboration skills.

  • Proven ability to balance business priorities with technical feasibility while managing multiple initiatives.

  • Strong problem-solving and critical-thinking abilities with a structured approach to product development.

  • Bachelor's or Master's degree in Computer Science, Information Technology, Business Administration, or a related field.

  • Experience with marketing technology, customer data platforms, learning platforms, or workflow automation tools is an added advantage.




We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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