Staff Product Manager
Weekday AI · Chennai, Tamil Nadu, India · ₹3M–₹6M/yr
Technology, Information and Internet · 11-50 employees
About the role
Lead the development of scalable platform capabilities and AI-enabled features by owning the product backlog and defining technical requirements. Collaborate with engineering and data teams to implement system integrations and drive data-driven product improvements.
What they look for
Requirements
Requires 6+ years of experience in Product Management with a strong technical background in APIs, software architecture, and AI technologies. A degree in Computer Science, IT, or Business Administration is required.
Full description
This role is for one of the Weekday's clients
Salary range: Rs 3000000 - Rs 5500000 (ie INR 30-55 LPA)
Experience: 6+ yrs
Location: Chennai
Job Type: Full-Time
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.
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.