AI Product Solution Manager

Job Description: AI Product / Solution Manager

Location:
Hyderabad, India

Organization:
People Tech Group, a Quest Global Company

Department:
Enterprise AI & Solutions (IntelligenceIQ Platform)

About Us

People 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 Overview

We 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 Responsibilities

1. 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 Solving

Work across industrial and engineering sectors such as:

• Aerospace component manufacturing
• Oil & Gas
  Refinery IOW monitoring & uptime
  operations
  improvement
• Rail predictive maintenance
• Silicon engineering yield optimization
• Data center operations and IT incident response

Translate 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