TransUnion is looking to solve the problem of building an environment where associates are in the driver’s seat of their professional development, while having access to help along the way, specifically in the area of GenAI and ML domains.
Requirements
- 3+ years of product management experience
- 1+ years in GenAI, ML domains
- Solid understanding of GenAI/ML principles, including LLM architectures, prompt design, RAG pipelines, and multi-agent orchestration
- Familiarity with cloud AI platforms (Vertex AI, AWS Bedrock) and their managed services
- Hands-on experience/prototyping with LLM tooling such as LangChain, LlamaIndex, or Semantic Kernel, including experience building retrieval or orchestration workflows
- Exposure to evaluation and observability frameworks for 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)
Responsibilities
- 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 OneTru’s broader business objectives.
- Governance & Guardrails: Support responsible AI practices by defining clear boundaries
Other
- Strong communication and stakeholder management skills, with the ability to translate complex AI/ML concepts for business and engineering audiences
- Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation
- 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
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law
- TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year
