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Job Description: AI Product / Solution ManagerLocation: Hyderabad, IndiaOrganization: People Tech Group, a Quest Global CompanyDepartment: Enterprise AI & Solutions (IntelligenceIQ Platform)About UsPeople Tech Group, a Quest Global company, is a leader in enterprise AI, product engineering, and digital transformation. We help global enterprises transition from insight-driven operations to continuous AI learning systems using platforms like IntelligenceIQ, built on the TEITL 2.0 (Trend–Event–Intelligence–Transformation–Learning) framework.We are expanding our AI product and solution management team in Hyderabad to build world-class demos, POCs, and AI-native solutions that transform industrial domains such as aerospace, refineries, rail, silicon engineering, and large-scale IT operations.If you are a systems thinker who loves solving complex problems and building fast prototypes—even if you don’t have direct AI experience—we want you.Role OverviewWe are seeking AI Product / Solution Managers who can blend product thinking, domain understanding, creativity, and rapid prototyping ability. This role is ideal for candidates who can think beyond dashboards and help design detect → decide → act workflows using LLMs, automation tools, sensing frameworks, and enterprise data patterns.Your goal is to turn operational challenges into 3-day AI demos, 30-day prototypes, and scalable solutions that leverage the IntelligenceIQ platform.Key Responsibilities1. AI-Native Product Design- Translate domain problems into TEITL 2.0 workflows (TrendIQ → DecisionIQ → ActionIQ). - Design solutions that automate detection, decision-making, and operational actions. - Build conceptual and UX workflows showing how users move through detect→decide→act loops. - Explore problem statements deeply and create ‘Art of the Possible’ scenarios that inspire innovative AI solutions.2. Rapid Demo & Prototype Development- Deliver working AI demos within 3 days using ChatGPT, Claude, Figma, , Zapier, or quick scripting. - Create functional prototypes showing real value—not just PowerPoints. - Work with LLMs to create intelligent flows, copilots, agents, or decision engines.3. Domain Problem SolvingWork across industrial and engineering sectors such as:- Aerospace component manufacturing - Oil & Gas Refinery IOW monitoring & uptimeoperations improvement - Rail predictive maintenance - Silicon engineering yield optimization - Data center operations and IT incident responseTranslate domain constraints problem statements and constraints into actionable AI workflows.4. Orchestration & Systems Thinking- Design end-to-end workflows involving sensors, data streams, humans, and automation. - Define events, actions, owners, and learning loops. - Work closely with engineering to convert conceptual flows into production capabilities.5. Customer & Stakeholder Engagement- Effectively package and communicate AI solutions—transform technical workflows into compelling narratives for customers and internal teams. - Lead workshops, discovery sessions, and solutioning meetings with global clients. - Present demos clearly and articulate business value. - Gather requirements through conversations, not checklists—bring structure to ambiguity.6. Strategy, Roadmapping & Value Definition- Build mini-roadmaps for AI feature development. - Define measurable success criteria tied to operational impact. - Identify opportunities for continuous learning loops within client processes.Required Experience (Even Without Direct AI Background)You do not need prior AI experience. Instead, we look for strong fundamentals:1. Technical & Systems Background- Degree in Engineering, Computer Science, Information Systems, or similar. - Experience with APIs, automation tools, cloud basics, or scripting. - Comfort with understanding telemetry, operational data, workflows, or integration patterns.2. Hands-On Problem Solving- Ability to break down complex problems and explain them in simple terms to colleagues, team members, and customers. - Experience building scrappy tools, automations, prototypes, or internal apps. - Participation in innovation projects, hackathons, or 0→1 initiative building. - Strong aptitude for understanding how systems work end-to-end. - Demonstrates strong work ethic and ability to dive hands-on into problem statements, performing deep work to uncover insights and craft solutions.3. Complex Cross-Functional Work- Delivered projects involving multiple teams—Ops, Engineering, Quality, Maintenance, etc. - Dynamic and adaptable—able to handle multiple projects and deadlines simultaneously while maintaining focus and delivering high-quality outcomes. - Experience in industries such as manufacturing, energy, transportation, aerospace, IT ops, or similar (preferred but not required).4. Communication & Visualization Skills- Ability to create workflows, diagrams, and solution slides. - Ability to create compelling solution slide decks with clear narratives that connect technical design to business value. - Ability to articulate complex solutions in simple, clear points for non-technical audiences. - Comfortable presenting to leadership and customers.Preferred, But Not Required- Exposure to LLMs, ChatGPT, Claude, or automation tools. - Experience working in an industrial or engineering domain. - Familiarity with industrial systems (SCADA, MES, Historian). - Experience with time-series or event-driven systems. - Basic understanding of ML concepts (correlation, anomaly detection, drift). - Optional experience with enterprise tools such as ERP, CRM, or SCM systems. - Flexibility to work shifted hours overlapping with U.S. time zones for global collaboration