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Titl is modernizing the title industry by using artificial intelligence and modern data infrastructure to transform how property records are searched, analyzed, and delivered. The platform converts fragmented land records into structured, audit-ready title data—faster, simpler, and more reliable than traditional workflows.
You will serve as Product Manager with deep AI/ML expertise, leading the development of systems that power title search, examination, and commitment generation. This is a hands-on role focused on shipping production systems. You'll sit at the intersection of machine learning, product, and real-world title workflows, translating complex technical capabilities into products that are accurate, usable, and trusted by professionals.
Key responsibilities include:
- Define and own product strategy for AI-driven title workflows
- Translate business needs into clear product requirements for ML teams
- Work closely with engineering and data science to prioritize model improvements, define success metrics beyond accuracy (e.g., usability, auditability, speed)
- Design workflows that integrate AI outputs into real-world title operations
- Drive product decisions based on real user feedback and production data
- Ensure outputs are explainable, auditable, and aligned with title industry standards
- Lead cross-functional collaboration between engineering, data science, title experts, and operations
Requirements:
- 4–8+ years of product management experience
- Proven experience working on AI/ML-powered products
- Strong understanding of model lifecycles, data pipelines, and evaluation metrics beyond "accuracy"
- Full-stack product experience
- Ability to bridge technical and non-technical stakeholders
- Experience shipping production-grade software
- Experience with document processing or NLP
- Knowledge of structured data extraction and workflow automation tools
- Software development background
Preferred:
- Familiarity with real estate, title, or government data systems
- Experience working with LLMs and retrieval-based systems
