Senior Technical Product Manager
Indexed description
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.
- 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.
- 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
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search