Drive GenAI Platform Product Strategy

Own key areas of TransUnion's AI Platform roadmap, helping define and scale reusable capabilities including:

• Agentic AI frameworks

• Knowledge and context services

• Retrieval-Augmented Generation (RAG)

• Semantic intelligence layers

• Ontology-driven architectures

• Agent governance and observability

• MCP-enabled integrations

• Enterprise AI platform capabilities supporting multiple business domains

Develop roadmaps and investment cases that balance near-term business value with long-term platform strategy.

Serve as the Technical Product Lead for AI Platform Capabilities

Unlike traditional PM roles focused primarily on business requirements, this role works directly alongside engineering teams to define both the "what" and some of the "how."

You will:

• Translate business opportunities into scalable platform capabilities.

• Define architecture-aligned requirements and technical specifications.

• Shape non-functional requirements including latency, scalability, security, explainability, observability, and performance.

• Participate in technical tradeoff discussions involving:

  • Hosted versus local LLM deployments

  • Prompt engineering versus fine-tuning

  • Agent orchestration patterns

  • Vector search and retrieval strategies

  • Knowledge graph and ontology design

  • Inferencing architectures

  • Context management and memory frameworks

Success in this role requires the ability to engage credibly with Principal Engineers, Architects, AI Engineers, and Engineering Leaders.

Bridge Product Vision and Engineering Execution

Partner closely with:

• AI Engineering

• AI Architecture

• Platform Engineering

• Solutions TPMs

• Product Organizations

• Data Science and Analytics Teams

Solutions TPMs often bring forward the business problem and desired outcome. This role is responsible for translating those opportunities into platform-ready capabilities and technically actionable engineering requirements.

You will serve as a critical bridge between innovation ideas, business needs, and engineering delivery

What You'll Bring

Required Experience

• 10+ years of experience in Technical Product Management, Platform Product Management, Software Engineering, Solution Architecture, or related technical disciplines.
• Experience building or managing platform products used by multiple teams or business domains.
• Experience working directly with engineering organizations on highly technical initiatives.
• Demonstrated experience translating complex technical concepts into product strategy and executable roadmaps.

Strong Technical Knowledge In Several Of The Following Areas

• Generative AI and Large Language Models
• Agentic AI systems
• Retrieval-Augmented Generation (RAG)
• AI inferencing architectures
• Model hosting and deployment strategies
• Prompt engineering and evaluation frameworks
• Fine-tuning techniques
• Vector databases
• Knowledge Graphs
• Semantic layers and ontologies
• Context engineering and memory architectures
• AI governance and observability
• Cloud-native architecture and distributed systems
• APIs, microservices, and platform design

Preferred Qualifications

• Experience launching enterprise AI or machine learning products.
• Experience working on AI platforms, developer platforms, or enterprise-scale technology platforms.
• Hands-on experience with AI frameworks, agent orchestration tools, or rapid prototyping environments.
• Familiarity with knowledge graph technologies, semantic intelligence systems, or ontology-driven architectures.
• Experience supporting globally distributed engineering organizations.

Why This Role Matters

TransUnion's AI Platform serves as the foundation for next-generation products and capabilities across the company. This role will help define how reusable AI services, semantic intelligence, and agentic AI capabilities are built and scaled across the enterprise.

As the senior AI technical product leader located in India, you will play a pivotal role in partnering with our globally distributed engineering teams, accelerating platform delivery, influencing architecture decisions, and driving TransUnion's long-term AI vision from concept to production.