Technical Product Manager,GenAIML

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 15 days ago

Vacancies: 1 Vacancy

Job Summary

TransUnions Job Applicant Privacy Notice

What Well Bring:

Join the Technical Product Management team - where youll work with great people pioneering the future of AI-driven products intelligent workflows and next-generation decisioning systems.

What Youll Bring:

What youll bring:

Solid understanding ofGenAI/ML principles including LLM architectures prompt design RAG pipelines and multi-agent orchestration.
Familiarity withcloud AI platforms(Vertex AI AWS Bedrock) and their managed services.
Hands-on experience/prototyping withLLM toolingsuch as LangChain LlamaIndex or Semantic Kernel including experience building retrieval or orchestration workflows.
Exposure toevaluation and observability frameworksfor AI (output evaluation feedback loops response grounding toxicity and accuracy testing).
Ability to read & understand code is a plus (e.g. Python SQL JSON schema).
Strong communication and stakeholder management skills with the ability to translate complex AI/ML concepts for business and engineering audiences.
58 years of product management experience with at least 1-2 years in GenAI ML domains.
A collaborative mindset and passion for productionizing innovating & improvingAI products grounded in reliability explainability transparency and user trust.

Impact Youll Make:

Product Vision & Strategy:Define and maintain the roadmap for GenAI -driven platform features within OneTru focusing on scalable secure and explainable AI solutions.
Customer Discovery:Work closely with stakeholders to uncover high-impact use cases distill pain points and frame scalable AI-driven solutions.
Cross-Team Collaboration:Partner with AI/ML engineers data scientists and platform teams to deliver customer-centric capabilities
Delivery & Execution:Drive day-to-day execution of agents agentic workflows & systems.
Metrics & Evaluation:Define success metrics and evaluation frameworks for LLM-based tools. Champion rapid iteration and continuous improvement loops.
Platform Translation:Act as a bridge between technical and non-technical stakeholders ensuring all AI capabilities ladder up to customer value and OneTrus broader business objectives.
Governance & Guardrails:Support responsible AI practices by defining clear boundaries auditing mechanisms and evaluation policies.

Experience Guidelines

5-8 years of product management experience with 1-2 years directly responsible for ML or GenAI features.
Hands-on experience withRAG pipelines LangChain etc
Familiarity withembedding stores or knowledge graph integrationsAI agents MCP servers model evaluation systems
Experience inprompt engineering evaluation frameworks and rapid iteration methodologies.
Experience withdata-driven prioritization and outcome-oriented roadmaps.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

TransUnion Job Title

Advisor Product Management

Required Experience:

TransUnions Job Applicant Privacy NoticeWhat Well Bring:Join the Technical Product Management team - where youll work with great people pioneering the future of AI-driven products intelligent workflows and next-generation decisioning systems.What Youll Bring:What youll bring: Solid understanding ofG...

TransUnions Job Applicant Privacy Notice

What Well Bring:

Join the Technical Product Management team - where youll work with great people pioneering the future of AI-driven products intelligent workflows and next-generation decisioning systems.

What Youll Bring:

What youll bring:

Solid understanding ofGenAI/ML principles including LLM architectures prompt design RAG pipelines and multi-agent orchestration.
Familiarity withcloud AI platforms(Vertex AI AWS Bedrock) and their managed services.
Hands-on experience/prototyping withLLM toolingsuch as LangChain LlamaIndex or Semantic Kernel including experience building retrieval or orchestration workflows.
Exposure toevaluation and observability frameworksfor AI (output evaluation feedback loops response grounding toxicity and accuracy testing).
Ability to read & understand code is a plus (e.g. Python SQL JSON schema).
Strong communication and stakeholder management skills with the ability to translate complex AI/ML concepts for business and engineering audiences.
58 years of product management experience with at least 1-2 years in GenAI ML domains.
A collaborative mindset and passion for productionizing innovating & improvingAI products grounded in reliability explainability transparency and user trust.

Impact Youll Make:

Product Vision & Strategy:Define and maintain the roadmap for GenAI -driven platform features within OneTru focusing on scalable secure and explainable AI solutions.
Customer Discovery:Work closely with stakeholders to uncover high-impact use cases distill pain points and frame scalable AI-driven solutions.
Cross-Team Collaboration:Partner with AI/ML engineers data scientists and platform teams to deliver customer-centric capabilities
Delivery & Execution:Drive day-to-day execution of agents agentic workflows & systems.
Metrics & Evaluation:Define success metrics and evaluation frameworks for LLM-based tools. Champion rapid iteration and continuous improvement loops.
Platform Translation:Act as a bridge between technical and non-technical stakeholders ensuring all AI capabilities ladder up to customer value and OneTrus broader business objectives.
Governance & Guardrails:Support responsible AI practices by defining clear boundaries auditing mechanisms and evaluation policies.

Experience Guidelines

5-8 years of product management experience with 1-2 years directly responsible for ML or GenAI features.
Hands-on experience withRAG pipelines LangChain etc
Familiarity withembedding stores or knowledge graph integrationsAI agents MCP servers model evaluation systems
Experience inprompt engineering evaluation frameworks and rapid iteration methodologies.
Experience withdata-driven prioritization and outcome-oriented roadmaps.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

TransUnion Job Title

Advisor Product Management

Required Experience:

Key Skills

Time Management
Data Analytics
Analytical
Agile
Requirement Gathering
Strategic thinking
Visio
Communication
Problem Solving
Market Research
UML
Cross Functional Teams

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TransUnion

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