Develop long-term product strategy and vision based on competitive analysis, market trends, technology advancements, and business objectives.
Translate product strategy into detailed quarterly roadmaps and release plans.
Lead requirement gathering sessions and synthesize inputs from various stakeholders into product specifications.
Define market segments, buyer personas, customer journeys and develop differentiated product positioning and messaging.
Conduct user interviews, customer advisory boards, and win/loss analysis to gather product insights.
Prioritize features and capabilities in the product backlog using data-driven frameworks that balance business value, resources, and other constraints.
Create business cases, cost/benefit analysis, and ROI models for new products and features.
Determine critical KPIs and metrics to measure product success and growth.
Manage all aspects of product launches including sales enablement, marketing collateral, campaigns, and sales training.
Collaborate with engineering team leads on release planning, sprint commitments, and development processes.
Work closely with UX team on information architecture, interaction design, and usability testing.
Partner with marketing teams to optimize conversion funnel, website messaging, and product campaigns.
Continuously level up product management skills and share best practices across the team.
Represent customer needs and interests throughout the organization.
Stay up-to-date on industry trends, emerging technologies, and the competitive landscape
Requirements :
8-14 years of product management experience.
Knowledge regarding competitive analysis, Requirement gathering, Product Strategy/Vision, Collaboration with Product team on mockups/release management & planning, Price Engineering and Product Collateral Management.
B. Tech in Computer Science (Engineering) or other relevant fields (Top-Tier MBA preferred)
Domain Experience in any of Digital Workplace Products, DC Management Products, Security Products, Endpoint security, Cloud automation and orchestration, FinOps, Cognitive virtual assistant, Service Management, Event Management and Observability.
Experience with AI, analytics, machine learning strongly preferred
Solid understanding of agile development processes and with ability to collaborate with engineering teams.
Proven track record of shipping successful products and driving growth.
Strong analytical and problem-solving skills and data-driven approach to decision making
Excellent communication, presentation, and storytelling skills and able to distil complex concepts into simple narratives
Self-driven, creative problem solver
Passionate about understanding customer needs and delivering value