Senior Technical Product Manager
Job Purpose
ICE Mortgage Technology, a division of ICE is the leading cloud-based platform provider for the mortgage finance industry. ICE integrates best-in-class solutions, optimizes every stage of the loan life cycle and continues to transform the housing finance and homeownership experience. Visit IceMortgageTechnology.com to learn more.
Data and Document Automation is an omnichannel mortgage automation solution that automates key business processes for lenders, investors, and servicers. We are looking for a motivated team member to work on the platform to help lenders accelerate their loan operations.
At ICE, the Senior Product Manager plays a critical role in realizing the product vision. The ideal candidate is customer focused, self-starter, independent, enthusiastic, strong team player and business outcome oriented.
We are seeking a Senior Technical Product Manager with a strong background in data-driven product development and AI technologies. This role requires a blend of technical expertise, strategic thinking, people and product management skills to drive innovative solutions leveraging data analytics and advanced machine learning models.
Responsibilities
- Define and execute product strategies for AI-driven solutions, including LLMs, multi-modal models, and AI agents.
- Collaborate with data scientists, engineers, and stakeholders to deliver impactful products.
- Translate complex data insights into actionable product decisions.
- Manage product lifecycle from ideation to launch, ensuring alignment with business goals.
- Stay ahead of emerging trends in AI, machine learning, and data science to inform product roadmap.
- Lead product strategy and execution for Automated Document Recognition and Automated Data Extraction capabilities, enabling intelligent classification, recognition, and structured data extraction from mortgage documents at scale.
Knowledge and Experience
- 4+ years in product management or technical product roles.
- Data Fluency: Deep understanding of data analytics, statistics, and data science principles to drive product strategy.
- AI/ML Delivery: Hands-on experience of leveraging data to build and scale machine learning and AI-driven applications.
- AI Proficiency: Familiarity with Large Language Models (LLMs), multi-modal AI models, and AI agents.
- AI-Augmented Workflow: Ability to leverage AI tools to accelerate product discovery, design and product thinking.
- Analytical Skills: Ability to analyze complex datasets and derive insights for product development.
- Stakeholder Leadership: Excellent communication and stakeholder management skills.
Preferred Qualifications
- Background in software engineering or data science.
- Experience with cloud platforms and ML frameworks.
- Knowledge of prompt engineering and AI model evaluation.
- Experience with products within mortgage domain to automatically recognize document types and extract structured data, with a strong understanding of OCR, IDP pipelines, model accuracy measurement, and continuous improvement feedback loops is a strong plus
