Technical Product Manager

Job Description – Senior Technical Product Manager with Agentic AI
Position Title
Senior Product Manager – Agentic AI & Foundation Models
Location
Bengaluru (Hybrid)
Experience
6–12+ Years
About the Role
We are looking for an experienced Product Manager to lead the strategy, roadmap, and execution of next-generation AI products powered by Large Language Models (LLMs), Agentic AI, and advanced machine learning techniques.
The ideal candidate should possess strong expertise in one or more of the following areas: pre-training, fine-tuning, model distillation, self-improving agents, reinforcement learning for agents, and production-grade agentic systems. Candidates from high-growth technology companies and startup environments are strongly preferred.
The role requires a unique blend of product leadership, technical depth, and business acumen to build and scale AI-native products that solve complex enterprise and consumer problems. Relevant enterprise profiles and AI product management experience were identified in internal documents related to GenAI, Agentic AI, fine-tuning, RAG systems, and production AI products. turn3search7
Key Responsibilities
Product Strategy & Vision
Define product vision, roadmap, and execution strategy for AI-powered products.
Identify market opportunities and translate customer needs into innovative AI solutions.
Drive product decisions using customer insights, experimentation, and business impact metrics.
Partner with executive leadership on long-term AI strategy.
Agentic AI Product Development
Lead development of production-grade AI agents and multi-agent systems.
Define agent workflows, orchestration patterns, tool usage, memory systems, and evaluation frameworks.
Drive implementation of autonomous and semi-autonomous AI capabilities.
Define success metrics for agent quality, reliability, reasoning, and business outcomes.
Foundation Model Lifecycle
Work closely with engineering and research teams on:
Pre-training strategies
Fine-tuning and instruction tuning
Model distillation
Reinforcement Learning for Agents (RL)
Self-improving agent frameworks
Model evaluation and benchmarking
Cross-Functional Leadership
Collaborate with AI Researchers, ML Engineers, Data Scientists, and Software Engineers.
Create PRDs, product requirements, user stories, and success criteria.
Prioritize features balancing customer value, technical feasibility, and business impact.
Lead product launches and go-to-market initiatives.
AI Governance & Responsible AI
Define guardrails, safety mechanisms, and responsible AI practices.
Drive monitoring and continuous improvement of AI systems.
Ensure compliance with enterprise security and privacy requirements.
Required Qualifications
Experience
6+ years of Product Management experience.
Experience managing AI, ML, GenAI, or platform products.
Proven experience delivering products from concept to production.
Experience with production agent systems and AI-powered applications.
Experience working directly with engineering and research teams.
Technical Expertise
Strong experience in one or more of the following:
LLM pre-training
Fine-tuning
Instruction Tuning
Model Distillation
Self-Improving Agents
Reinforcement Learning (RLHF/RLAIF/Agent RL)
Multi-Agent Architectures
Agent Evaluation Frameworks
Retrieval-Augmented Generation (RAG)
Prompt Engineering
AI Workflow Orchestration
Internal profiles referencing Agentic AI, multi-agent systems, fine-tuning, evaluation frameworks, and LLM-powered products demonstrate the type of experience sought for this position. turn3search1
Preferred Qualifications
Experience at a leading technology product company.- Startup experience with ownership of 0-to-1 product development.
Experience building Enterprise SaaS or AI-native products.
Exposure to AI research organizations or advanced ML teams.
Experience shipping products using OpenAI, Anthropic, Gemini, Llama, Claude, or similar foundation models.
Technical Skills
Must Have
Product Management
Agentic AI
Generative AI
LLMs
Production Agent Systems
Fine-Tuning
Distillation
Reinforcement Learning
Product Strategy
Roadmap Management
Experimentation & Analytics
Python (Read/Write Proficiency)
Pre-training, fine-tuning, distillation, self-improving agents
Reinforcement learning for agents (1 or more, as many as possible)
Experience with production agent systems
Python coding hands on
If you are interested, please share your resumes to below mail ID: Venkateswararao.dudi@trianz.com
Company Profile:
About Trianz
Trianz is a recognized innovator in the technology services industry, delivering the "Services as Software" model that is fundamentally reshaping how enterprise transformations get done. Built on two decades of proprietary research into digital transformation patterns across thousands of global enterprises, Trianz developed the CONCIERTO unified multi-cloud platform - combining platform automation with expert services to deliver up to 3X faster transformation outcomes than traditional consulting approaches.
Even as legacy service providers remain trapped in labor-intensive, linear-scaling models, Trianz delivers predictable outcomes through software-driven execution across AWS, Azure, and Google Cloud. Fortune 500 companies and global enterprises choose Trianz because they demand accelerated timelines, predictable costs, and multi-cloud flexibility that traditional consultancies simply cannot deliver.
Global Enterprise Customer Base:
80+ enterprise customers including Fortune 500 companies across 19 countries and 15 industries - organizations that demand predictable outcomes, accelerated timelines, and multi-cloud flexibility
Industry verticals: Financial Services, Healthcare & Life Sciences, Manufacturing, Utilities & Energy, Higher Education, Government & Public Services, High Tech, Travel & Hospitality
70,000+ VMs assessed in recent months through CONCIERTO MIGRATE
Multi-lingual platform supporting transformations in 17 languages globally
AWS Strategic Collaboration Agreement (SCA) Partner: Trianz is one of select AWS SCA partners worldwide, with deep collaboration across Migrate, Modernize, Cloud Ops, and Agentic AI. Additional AWS recognitions include: Premier ISV Partner, Top 10 Worldwide in AWS Assess & Migrate Volume, AWS EU Sovereign Cloud Launch Partner, and AWS AgentCore integration partner. Trianz and AWS are now expanding partnership into Storage Migrations and integrating CONCIERTO Agentic capabilities with AWS Transform for next-generation AI-powered transformation workflows.
Multi-Cloud Platform Partnerships:
Azure: Microsoft Azure Certified Partner with certified solutions across Migrations, Modernization, Cloud Ops, and Insights & AI
GCP: Google Cloud Partner with integrated platform capabilities
Access to funding programs with AWS, Azure, and GCP that partners can leverage to accelerate customer wins
The CONCIERTO Platform Family:
CONCIERTO MIGRATE: Unified cloud migration across any hyperscaler
CONCIERTO MODERNIZE: Six M-Pathways for application modernization (.NET, Java, Mainframe)
CONCIERTO MANAGE: Single-pane-of-glass multi-cloud and hybrid operations
CONCIERTO MAXIMIZE: AI-powered FinOps and cost optimization
CONCIERTO INSIGHTS & AGENTIC AI: Federated data platform with 50+ autonomous AI agents
Trianz has funding programs with AWS, Azure, and GCP that partners can leverage to accelerate customer wins.

Work arrangement
Hybrid