Director Technical Product Management

Director Technical Product Management

Product Management Core Discipline • Able to work independently through each stage of the product lifecycle, building proficiency in developing and executing strategies based on market needs and profitability. May support a single product independently or support multiple products. • Clearly articulates vision and roadmaps to engineering team. Should be able to relate tasks/activities with overall product vision and strategy. • Analyzes data from KPIs and recommends appropriate actions • Explains competitive landscape and how product fits into it. Owns product holistically and anticipates what is happening in the market and plans and executes on insights learned. Translates data into a compelling business case and customer story • Uses creative thinking to solve problems. • Ability to provide alternative solutions to achieve the objective • Works with matrix partners to translate required capabilities into concrete operational processes and measurement plans. Validates requirements with marketplace via pilots and beta groups. Pro-actively identifies needs/priorities of audience and provides relevant information when sharing insights, including facts and explanation of decision-making criteria • Tells the story of the product both internally and externally. • Provides subject matter expertise. Joins sales team on calls to offer expertise • Stays current on market trends and related competitors • Understands how the solution will be sold and related customer purchase cycles • Quantifies and defines product opportunity by market segmentation • Considers customer experience and perspective in all aspects of decisions and actions • Leads applicable financial analyses to drive product planning and management (e.g., cost/benefit analysis, revenue potential/forecasts, P/L, budgets, membership/volume forecasts) • Understands capital requirements and aligns with operating calendar • Must have experience of SaaS/cloud architecture and delivery model • Understands capital requirements and aligns with operating calendar • Good exposure of AI/ML concepts and ability of identify right business use case for AI/ML or Generative AI implementations Must Have Skills: • Educational Qualifications: B.Tech / MCA/ MTECH /MS Graduation (MBA preferred) • Excellent communication skills including the ability to translate technical concepts into marketable benefits • AI fluency (LLMs, ML lifecycle, GenAI capabilities) • Product strategy, customer empathy, agile delivery • Metrics-driven decision-making (A/B testing, KPIs) • Competitive analysis and market research Page 3 of 3 • Product Strategy & Vision: Ability to define and communicate a clear product vision aligned with business goals and AI capabilities • Roadmap Planning: Experience in building and managing product roadmaps, especially for AI/ML-driven features • Stakeholder Collaboration: Strong cross-functional collaboration with engineering, data science, design, and business teams • Translating AI Capabilities into Business Value: Ability to convert complex AI concepts into tangible product features that solve real user problems • Ethical AI & Governance Awareness: Understanding of responsible AI principles, data privacy, and model transparency