Job Description: Technical Product Owner – Enterprise Agentic AI & Client Solutions
Location: Noida (Hybrid)
Experience Level: 5-8 Years in Technical Product Owner
Domain: Enterprise Agentic AI, Multi-Agent Systems & Cloud Integrations
Role Summary
We are seeking a high-energy, client-facing Technical Product Owner to spearhead the delivery of cutting-edge Agentic AI and enterprise multi-agent platforms. In this role, you will bridge the gap between enterprise client leadership and cross-functional engineering teams, turning complex business workflows into high-impact, AI-driven digital platforms.
Drawing from successful enterprise deployments for Oil & Gas giant—you will lead Daily, Weekly, Monthly Status Report (WSR) governance, facilitate interactive design sprint workshops, author detailed technical specification documents, and manage multi-agent architectures deployed across sovereign cloud environments, must be ready to visit client location for crucial business meetings and project phases onsite in Saudi Arabia in 2027
Key Responsibilities
1. High-Energy Client Communication & Stakeholder Alignment
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Drive Client Governance & Cadence: Lead bi-weekly client meetings and Weekly Status Report (WSR) sessions with executive stakeholders, technical leads, and steering committees.
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Design Workshops & Prototyping: Facilitate high-engagement Product Design Sprint workshops, presenting low- and high-fidelity mobile/web wireframes to align on product vision and UI/UX flows.
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Expectation & Scope Management: Act as the primary point of contact for client queries, maintaining active open-item trackers, milestone sign-off sheets, and requirement specification reviews.
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Executive Metrics & Value Reporting: Synthesize post-event operational telemetry and KPI reports (e.g., usage metrics, unique vendor assessments, completion velocity) for client leadership during flagship events
2. Technical Product Management & Agentic AI Vision
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Multi-Agent Systems Orchestration: Define roles, tool sets, and interaction protocols for AI agents (e.g., Interviewer/Digital Human Avatars, Front Desk Agents, Background Analysts, Compliance & Procurement Evaluators).
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GenAI & Model Strategy: Lead the functional integration of Large Language Models (e.g., Gemma, Gemini) and avatar generation tools (e.g., HeyGen, LiveAvatar, or internal on-premise avatar services).
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Workflow Automation & Document Intelligence: Productize intelligent automation features, including resume/CV parsing, automated Statement of Work (SOW) generation, Technical Evaluations, and automated procurement/compliance triggers.
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Space & Multi-Tenancy Customization: Design configurable departmental workspaces ("Spaces") featuring "Chat with Spaces", customized questionnaire engines, and dynamic reporting.
3. Sprint Delivery & Agile Execution
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Backlog Management & Roadmapping: Deconstruct high-level enterprise contracts and Statement of Work (SOW) milestones into prioritized MVP product backlogs and sprint goals.
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Cross-Functional Team Collaboration: Partner daily with UI/UX designers, frontend engineers (React/Angular), backend microservices developers (Node.js/Python), and AI Data Scientists.
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UAT & Release Governance: Manage end-to-end User Acceptance Testing (UAT) with cross-functional client teams (HR, Procurement, IT, Compliance), ensuring strict adherence to release timelines.
4. Enterprise Architecture & Security Governance
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Cloud Infrastructure Alignment: Oversee platform deployment on cloud environments (e.g., GCP Landing Zone / Public Google Cloud) using Kubernetes clusters, CI/CD pipelines (Cloud Build), and serverless hosting.
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Security & Authentication: Ensure strict compliance with enterprise cybersecurity guidelines, Role-Based Access Control (RBAC), and SSO/OAuth/LEAP ID gating mechanisms.
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System Integration: Plan RESTful API and event-driven integrations with enterprise backends such as SAP, SuccessFactors, and autonomous procurement systems.
Required Qualifications & Competencies-
Technical Background: Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
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Domain Expertise: 4+ years of hands-on technical product management experience with AI/ML systems, generative AI applications, microservices, and GCP cloud environments.
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Client Engagement Mastery: Exceptional verbal and written communication skills with a proven ability to project high energy, enthusiasm, and confidence when running executive meetings and WSRs.
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Agile Leadership: Demonstrated success using Agile frameworks (Scrum/Kanban) to deliver enterprise-grade software products.
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Documentation Excellence: Proven ability to author comprehensive Requirement Specifications, Wireframe Specifications, WSR summaries, and Architecture Overviews.
