The Lead PM works closely with Engineering, Design, Data/AI, Sales, Marketing, and Service Delivery leaders to ensure products are customer\-centric, scalable, and aligned with long\-term business goals.
● Define and drive product vision, strategy, and multi\-quarter roadmaps aligned with business objectives.
● Identify and prioritise initiatives that drive revenue growth, adoption, retention, and expansion.
● Translate strategy into epics, features, user stories, and acceptance criteria.
● Own and continuously groom the product backlog to ensure clarity and prioritisation.
● Act as Product Owner within Agile/Scrum teams, leading sprint planning, reviews, and retrospectives.
● Track and analyse product performance metrics to guide roadmap decisions.
Organization\-Building Responsibilities
● Define and refine product development processes including discovery, prioritisation, backlog management, release planning, and feedback loops.
● Help design the product career ladder, mentoring frameworks, and capability development practices.
● Participate in hiring, onboarding, and coaching Product Managers, Designers, and Product Analysts.
● Educate Sales, Services, and Delivery teams on product ways\-of\-working, including “no custom fork” principles.
● Work closely with Service Delivery leaders to convert repeatable client solutions into scalable product roadmap items, rather than bespoke projects.
● Partner with Marketing to develop strong product narratives and positioning for different verticals.
● Collaborate with UX, QA, and Engineering to ensure usability, quality, and scalability.
● Support major launches and go\-to\-market initiatives.
● Identify and prioritize high\-impact AI use cases such as prediction, recommendations, and automation.
● Partner with data scientists and ML engineers to translate models and data into reliable, user\-facing features.
● Define data requirements, feedback loops, and evaluation criteria for AI capabilities.
● Track AI\-specific metrics alongside traditional KPIs, including model quality, automation rates, error rates, and business impact.
● Ensure responsible AI usage, with attention to fairness, explainability, privacy, and regulatory considerations in sensitive domains.
● Raise AI literacy across teams, clearly communicating what AI can and cannot do, and using AI\-driven insights to inform product and business decisions.
● 6–8 years of Product Management experience (10–15 years overall).
● Strong experience managing SaaS or B2B products.
● Proven ownership of product strategy, roadmaps, and execution.
● Deep understanding of Agile/Scrum methodologies.
● Strong experience writing epics, user stories, and acceptance criteria.
● Strong understanding of revenue\-driven product metrics.
● Ability to balance strategic thinking with hands\-on execution.
● Experience mentoring PMs and influencing cross\-functional leadership.
● Excellent stakeholder management and communication skills.
● Bachelor’s degree in Engineering, Computer Science, Business, or equivalent.
● Experience with AI\-enabled or data\-driven products.
● 6–8 years of Product Management experience (10–15 years overall).
● Strong experience managing SaaS or B2B products.
● Proven ownership of product strategy, roadmaps, and execution.
● Deep understanding of Agile/Scrum methodologies.
● Strong experience writing epics, user stories, and acceptance criteria.
● Strong understanding of revenue\-driven product metrics.
● Ability to balance strategic thinking with hands\-on execution.
● Experience mentoring PMs and influencing cross\-functional leadership.
● Excellent stakeholder management and communication skills.
● Bachelor’s degree in Engineering, Computer Science, Business, or equivalent.
Pay: ₹2,000,000\.00 \- ₹3,000,000\.00 per year
Work Location: In person
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