About the role
- Own the complete product lifecycle from discovery to production.
- Translate business challenges into product opportunities.
- Define product vision, roadmap, priorities, and success metrics.
- Drive customer-centric decision-making throughout development.
- Ensure every delivered feature creates measurable business value.
- Treat every client project as a product with long-term scalability and maintainability.
- Shift conversations from feature requests to business outcomes.
- Define product strategy alongside delivery planning.
- Balance customer expectations, engineering constraints, timelines, and business goals.
- Identify opportunities to convert custom solutions into reusable product capabilities.
- Identify where AI creates measurable business value instead of adding unnecessary complexity.
- Define AI-powered workflows, intelligent automation, copilots, and AI agents.
- Collaborate with AI engineers to deliver production-ready AI features.
- Understand LLM capabilities, Agentic AI, Retrieval-Augmented Generation (RAG), MCP, and enterprise AI integrations.
- Drive responsible AI adoption across product development.
- Conduct discovery workshops with customers.
- Understand user personas, workflows, pain points, and business objectives.
- Gather requirements through structured interviews and stakeholder collaboration.
- Convert ambiguous ideas into clear product requirements.
- Prioritize features based on business impact and customer value.
- Create product roadmaps aligned with business objectives.
- Define MVPs and incremental release strategies.
- Balance innovation, customer requests, and technical feasibility.
- Work closely with Engineering Managers, Architects, Designers, QA, AI Engineers, and Customer Success teams.
- Manage sprint planning, backlog prioritization, release planning, and product reviews.
- Remove delivery blockers proactively.
- Ensure predictable and high-quality releases.
- Serve as the primary bridge between customers, engineering, leadership, and business teams.
- Present product updates, roadmap progress, risks, and recommendations.
- Manage expectations through transparent communication.
- Define and monitor KPIs, product adoption, customer engagement, delivery efficiency, and business outcomes.
- Use data to prioritize product improvements.
- Drive continuous product optimization through customer feedback and analytics.
- Product Discovery
- Product Roadmapping
- Backlog Management
- User Story Writing
- PRD Creation
- Feature Prioritization
- Product Strategy
- Customer Journey Mapping
- Agile Product Management
- Design Thinking
- Practical understanding of LLMs and Generative AI.
- Experience working with AI-powered products.
- Knowledge of AI Agents, MCP, RAG, prompt engineering, and AI automation.
- Ability to define AI use cases that solve business problems.
- Agile and Scrum methodologies.
- Sprint planning and execution.
- Risk management.
- Cross-functional team leadership.
- Stakeholder communication.
- Vendor and client management.
- APIs and integrations
- Cloud platforms
- Enterprise software architecture
- AI application lifecycle
- SaaS products
- Web and mobile applications
- Data-driven products
- 6–12 years of experience in Product Management, Technical Product Management, or Digital Product Delivery.
- Proven experience delivering enterprise software products.
- Experience managing AI-powered or data-driven products is highly preferred.
- Experience working with global clients.
- Strong understanding of Agile product development.
- Thinks like a Product Owner, not just a Project Manager.
- Customer-obsessed and business-focused.
- Strong analytical and strategic thinking.
- Excellent communication and stakeholder management skills.
- Comfortable making data-driven decisions.
- High ownership and accountability.
- Ability to thrive in a fast-growing, AI-first organization.
- Passion for innovation and continuous improvement.
- Successfully deliver multiple AI-powered products with high customer satisfaction.
- Improve delivery predictability and reduce project risks.
- Increase customer adoption and product engagement.
- Convert project-based thinking into product-led delivery across teams.
- Build reusable product capabilities from client engagements.
- Strengthen collaboration between business, product, design, engineering, and AI teams.
- Drive measurable business outcomes through product decisions.
- Build innovative AI-powered products for global customers.
- Work with cutting-edge technologies including Generative AI, AI Agents, MCP, automation, and enterprise AI solutions.
- Collaborate with experienced product, engineering, and AI teams.
- Shape the future of AI-first product development.
- Grow rapidly in a company where innovation, ownership, and execution are valued equally.