Product/Project Manager - Gen Ai

Job description

Role - Product Manager/Project Manager/Technical Project Manager Location - Bangalore Mode - Hybrid (4 Days working from office) JD: KEY RESPONSIBILITIES AI Product Strategy & Roadmap • Translate inputs into AI product requirements, use cases, value propositions, and roadmap recommendations. • Build fact-based business cases connecting AI capability to customer outcomes, revenue opportunity, cost and margin impact, and strategic fit. • Prioritize a portfolio of AI use cases on value, feasibility, data readiness, and time-to-impact; make and defend explicit trade-off and de-scoping decisions. • Own AI product lifecycle decisions, feature prioritization, model and release readiness, adoption barriers, deprecation, and retirement. Program Planning & Execution • Prepare project plans and drive initiatives from conception and planning through implementation, deployment, and adoption. • Ensure effective and efficient execution to established guardrails of scope, timeline, and budget; track execution and compliance metrics and provide regular status and feedback to stakeholders. • Manage schedule and task detail using project management tools, reports, tracking charts, checklists, and scheduling software. • Identify, evaluate, and address program risks per established guidelines; surface and resolve complications before they impact commitments. • Conduct appropriate reviews to ensure documentation, models, and solutions are of acceptable quality prior to release. Technical Partnership & Delivery Quality • Partner with Business, Data Science, ML Engineering, Data Platform, and Software teams to ensure requirements are understood, feasible, prioritized, and traceable through execution. • Drive definition of evaluation criteria and acceptance thresholds for AI systems. • Own the path from pilot to production: MLOps readiness, monitoring, model drift management, support model, and total cost of ownership. Customer, Field & Competitive Insight • Engage customer-facing stakeholders and technical experts to understand customer high-value problems and operational pain points. • Capture and synthesize Voice of Customer, escalation learnings, and competitive intelligence into actionable AI product recommendations. • Support customer and executive technical reviews with product positioning, technical rationale, and evidence-based messaging. • Identify gaps between current AI capability and customer needs, and recommend corrective actions or roadmap adjustments. Cross-Functional Leadership • Drive alignment of system-level requirements across Business Units, Engineering, IT, Services, and Operations. • Coordinate launch planning, enablement, change management, adoption tracking, and issue resolution for AI capabilities. • Maintain clear documentation of product decisions, assumptions, dependencies, risks, and success metrics. • Use structured operating rhythms, dashboards, and reviews to communicate progress and escalate appropriately. • Mentor and train team members in AI product and program management practice. COMPETENCIES • Functional Knowledge: Demonstrates depth and/or breadth of expertise in own specialized discipline or field. • Business Expertise: Interprets internal and external business challenges and recommends best practices to improve products, processes, or services. • Leadership: May lead functional teams or programs with moderate resource requirements, risk, and/or complexity. • Problem Solving: Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions. • Impact: Impacts the achievement of customer, operational, project, or service objectives; work is guided by functional policies. • Interpersonal Skills: Communicates difficult concepts and negotiates with others to adopt a different point of view. QUALIFICATIONS Required • Bachelor’s degree in Engineering, Computer Science, Data Science, or a related technical discipline; advanced degree preferred. • 8+ years of combined product management, program/project management, or technical delivery experience, including 2+ years on AI, machine learning, data, or analytics initiatives. • Demonstrated record of delivering at least one AI/ML or data-driven capability into production use with measurable business outcomes. • Technical fluency in the AI stack, including data pipelines, model training and evaluation, LLM/generative AI patterns (RAG, agents), and deployment/MLOps concepts, sufficient to lead credible technical trade-off discussions. • Proven ability to run structured program management: planning, scheduling, financial tracking, risk management, dependency management, and status reporting. • Ability to translate technical concepts into customer value, product requirements, and cross-functional execution plans. • Strong written and verbal communication, including concise executive storytelling and trade-off framing. • Demonstrated ability to drive alignment across diverse organizations without direct authority. Preferred • Experience in semiconductor equipment, process technology, services, diagnostics, data platforms, automation, reliability, or advanced manufacturing environments. • Familiarity with industrial and manufacturing AI applications. • Hands-on experience using agentic AI tooling to develop concepts, UI prototypes, and dynamic product requirements documents. • Experience with market requirements specifications, product lifecycle management, launch readiness, pricing inputs, or service product strategy. • Working knowledge of AI governance, model risk management, data privacy, and export-control considerations in a global enterprise.