Product Manager with AI/ML Experience
ICE · Pune Division, Maharashtra, India
- On site
- Full-time
- $120,000 / year
- Pune Division, Maharashtra, India
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Job highlights
- Lead product vision and strategy for mortgage automation.
- Translate business needs into user stories and epics.
- Collaborate with engineering, QA, UX, and stakeholders.
- Manage product backlog and roadmap execution.
- Experience with AI/ML in document automation required.
About the role
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 Product Manager plays a critical role in realizing the product vision. The ideal candidate is customer-focused, a self-starter, independent, enthusiastic, a strong team player, and business outcome-oriented.
Responsibilities
- Lead requirements discovery and analysis in close collaboration with stakeholders, Engineering, QA, UX, and customers.
- Translate business needs into clear and actionable epics, user stories, acceptance criteria, and supporting documentation.
- Ensure requirements align with strategic business goals while balancing compliance, security, scalability, and technical feasibility.
- Communicate business objectives, technical implications, and solution impacts effectively to cross‑functional teams prior to design and development.
- Actively participate in Agile ceremonies—including daily standups, backlog grooming, sprint reviews, and retrospectives—to drive delivery and continuous improvement.
- Maintain, refine, and prioritize the product backlog to support effective iteration planning and roadmap execution.
- Partner closely with Product, Engineering, QA, UX, Marketing, and other internal teams to deliver high‑quality, customer‑centric solutions.
- Support Sales, Client Management, and Technical Support teams by providing product expertise and assisting with escalations when needed.
Key skills/competency
- Product Management
- AI/ML
- Agile Methodologies
- Requirements Gathering
- SDLC
- API Integration
- JSON
- XML
- Mortgage Industry
- Financial Services
Skills & topics
- Product Manager
- AI
- Machine Learning
- ML
- Mortgage Technology
- Data Automation
- Document Automation
- Software Development
- Agile
- Product Development
How to get hired
- Tailor your resume: Highlight experience in product management, AI/ML, and the mortgage industry. Quantify achievements with data.
- Showcase technical skills: Emphasize proficiency with APIs, JSON, XML, and SDLC/Agile methodologies.
- Demonstrate AI/ML knowledge: Detail your experience with machine learning concepts and their application to automation.
- Prepare for interviews: Be ready to discuss your product vision, customer focus, and problem-solving approach.
- Understand ICE's mission: Research ICE Mortgage Technology and how your skills align with their goals.
Technical preparation
Study AI/ML concepts for document automation.,Review API integration patterns and data formats.,Practice translating business needs into user stories.,Familiarize with mortgage industry workflows.
Behavioral questions
Describe a complex product challenge you solved.,How do you prioritize competing product requirements?,Tell me about a time you collaborated with engineers.,How do you ensure AI/ML solutions are responsible?
Frequently asked questions
- What is the primary focus of the Product Manager AI/ML role at ICE Mortgage Technology?
- The Product Manager AI/ML role at ICE Mortgage Technology focuses on leading the product vision and strategy for their Data and Document Automation platform, specifically leveraging AI/ML to enhance loan operations and accelerate lender processes.
- What level of experience is required for the Product Manager AI/ML position?
- A minimum of 5 years of experience is required for this role. A Bachelor's degree in Computer Science or a related technical field is preferred, though candidates with strong blended business-technical backgrounds and demonstrated data or CS proficiency will also be considered.
- Does this Product Manager role require specific technical skills?
- Yes, proficiency with structured data formats and integration technologies such as JSON, XML, APIs, and common request/response patterns is required. Understanding technical workflows like system integration patterns and data pipelines is also important.
- What is the preferred experience for this Product Manager AI/ML job?
- Preferred experience includes a working knowledge of machine learning concepts and their application to document automation, data extraction, classification, and predictive decisioning. Experience collaborating with Data Science teams is also highly regarded.
- Is mortgage or financial services industry experience necessary for the Product Manager role?
- While not strictly required, experience in the mortgage or financial services industry is preferred for this Product Manager role, as it provides valuable context for the platform's applications.
- How does ICE Mortgage Technology utilize AI/ML in its products?
- ICE Mortgage Technology leverages AI/ML to enhance data accuracy, enrich metadata, improve workflow intelligence, and reduce manual operational effort within its Data and Document Automation platform. This includes applications in document automation, data extraction, classification, and predictive decisioning.
- What are the key responsibilities of the Product Manager at ICE?
- Key responsibilities include leading requirements discovery, translating business needs into user stories, managing the product backlog, collaborating with cross-functional teams, and supporting sales and client management with product expertise.
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