CapCenter ยท 9 hours ago
AI Product Manager
CapCenter is a fintech-powered mortgage lender and real estate services company focused on helping people buy and refinance homes with zero closing costs. They are seeking an AI Product Manager who will use AI and modern tooling to identify and solve problems while driving revenue growth and operational efficiency.
FinanceInsuranceReal Estate
Responsibilities
Proactively identify high-impact opportunities for software and automation across sales, operations, and servicing
Leverage AI and LLM-based tools in day-to-day work, including:
Rapid prototyping of software products and internal tools
Exploring architectural approaches and technical designs
Troubleshooting technical issues and unblocking roadblocks
Partner with business stakeholders to understand workflows, bottlenecks, and cost drivers, and translate them into technical solutions
Translate business, regulatory, and operational workflows into clear product and technical requirements
Partner closely with engineering on technical tradeoffs, dependencies, and delivery
Prioritize initiatives based on measurable business impact, including revenue growth, efficiency gains, and cost reduction
Define success metrics and measure product performance using data, logs, and AI-assisted analysis
Iterate quickly based on results, feedback, and business outcomes
Qualification
Required
Bachelor's degree in computer science, engineering, finance, or a related field
5+ years of experience in Product Management, Technical Product Management, or Software Engineering
Experience using, integrating, or developing mortgage or fintech technology
Strong technical fluency, including: APIs, system integrations, and data models
Cloud-based platforms (AWS, GCP, or Azure)
Modern web or service-oriented architectures
Familiarity with AI platforms and LLMs (e.g., OpenAI, Anthropic)
Demonstrated ability to use AI to prototype, build, and troubleshoot technical solutions
Experience writing technical requirements and managing backlogs
Strong communication skills with both technical and non-technical stakeholders
Proven ability to operate with ambiguity and take ownership from idea through execution