Role - Product Manager/Project Manager/Technical Project Manager

nLocation - Bangalore

nMode - Hybrid (4 Days working from office)

nJD:

nKEY RESPONSIBILITIES

nAI Product Strategy & Roadmap

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- Translate inputs into AI product requirements, use cases, value propositions, and roadmap recommendations.
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- Build fact-based business cases connecting AI capability to customer outcomes, revenue opportunity, cost and margin impact, and strategic fit.
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- 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.
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- Own AI product lifecycle decisions, feature prioritization, model and release readiness, adoption barriers, deprecation, and retirement.
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nProgram Planning & Execution

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- Prepare project plans and drive initiatives from conception and planning through implementation, deployment, and adoption.
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- 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.
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- Manage schedule and task detail using project management tools, reports, tracking charts, checklists, and scheduling software.
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- Identify, evaluate, and address program risks per established guidelines; surface and resolve complications before they impact commitments.
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- Conduct appropriate reviews to ensure documentation, models, and solutions are of acceptable quality prior to release.
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nTechnical Partnership & Delivery Quality

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- Partner with Business, Data Science, ML Engineering, Data Platform, and Software teams to ensure requirements are understood, feasible, prioritized, and traceable through execution.
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- Drive definition of evaluation criteria and acceptance thresholds for AI systems.
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- Own the path from pilot to production: MLOps readiness, monitoring, model drift management, support model, and total cost of ownership.
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nCustomer, Field & Competitive Insight

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- Engage customer-facing stakeholders and technical experts to understand customer high-value problems and operational pain points.
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- Capture and synthesize Voice of Customer, escalation learnings, and competitive intelligence into actionable AI product recommendations.
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- Support customer and executive technical reviews with product positioning, technical rationale, and evidence-based messaging.
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- Identify gaps between current AI capability and customer needs, and recommend corrective actions or roadmap adjustments.
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nCross-Functional Leadership

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- Drive alignment of system-level requirements across Business Units, Engineering, IT, Services, and Operations.
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- Coordinate launch planning, enablement, change management, adoption tracking, and issue resolution for AI capabilities.
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- Maintain explicit documentation of product decisions, assumptions, dependencies, risks, and success metrics.
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- Use structured operating rhythms, dashboards, and reviews to communicate progress and escalate appropriately.
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- Mentor and train team members in AI product and program management practice.
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nCOMPETENCIES

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- Functional Knowledge: Demonstrates depth and/or breadth of expertise in own specialized discipline or field.
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- Business Expertise: Interprets internal and external business challenges and recommends best practices to improve products, processes, or services.
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- Leadership: May lead functional teams or programs with moderate resource requirements, risk, and/or complexity.
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- Problem Solving: Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions.
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- Impact: Impacts the achievement of customer, operational, project,



or service objectives; work is guided by functional policies.
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- Interpersonal Skills: Communicates difficult concepts and negotiates with others to adopt a different point of view.
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nQUALIFICATIONS

nRequired

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- Bachelor's degree in Engineering, Computer Science, Data Science, or a related technical discipline; advanced degree preferred.
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- 8+ years of combined product management, program/project management, or technical delivery experience, including 2+ years on AI, machine learning, data, or analytics initiatives.
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- Demonstrated record of delivering at least one AI/ML or data-driven capability into production use with measurable business outcomes.
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- 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.
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- Proven ability to run structured program management: planning, scheduling, financial tracking, risk management, dependency management, and status reporting.
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- Ability to translate technical concepts into customer value, product requirements, and cross-functional execution plans.
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- Strong written and verbal communication, including concise executive storytelling and trade-off framing.
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- Demonstrated ability to drive alignment across diverse organizations without direct authority.
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nPreferred

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- Experience in semiconductor equipment, process technology, services, diagnostics, data platforms, automation, reliability, or advanced manufacturing environments.
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- Familiarity with industrial and manufacturing AI applications.
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- Hands-on experience using agentic AI tooling to develop concepts, UI prototypes, and dynamic product requirements documents.
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- Experience with market requirements specifications, product lifecycle management, launch readiness, pricing inputs, or service product strategy.
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- Working knowledge of AI governance, model risk management, data privacy, and export-control considerations in a global enterprise.
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📌 Product/Project Manager - Gen Ai (Bengaluru)
🏢 Tech Mahindra
📍 Bengaluru