L. MaxwellRemote
Senior Product Manager, AI & Data
United States of America
Full Time
2 days ago
$90,000 - $150,000 USD
Visa Sponsor
Key skills
Product ManagementAI/ML Product DevelopmentModel Deployment and EvaluationAI Engineering ManagementData EngineeringAPI DocumentationLarge Language Models (LLM)Prompt DesignRetrieval-Augmented Generation (RAG) ArchitecturesDocument IntelligenceData PipelinesData SchemasData QualityAWS BedrockAWS SageMakerDocument AISnowflakeBigQuerydbtProduct Analytics ToolsSQLExecutive CommunicationData-driven PrioritizationAIMLLLMRAGAnalyticsAWSSageMakerBedrockMentoring
About this role
L. Maxwell is dedicated to simplifying and enhancing the mortgage lending process through innovative enterprise software. They are seeking a Senior Product Manager to lead AI product strategy, manage a small technical team, and ensure deep integration of AI capabilities into their mortgage Point of Sale system.
Responsibilities:
- AI product strategy and roadmap across document intelligence, workflow automation, and data-driven decisioning, with our mortgage Point of Sale as the flagship integration surface
- Direct management of AI engineers and data engineers, setting direction, removing blockers, and developing the team
- Deep AI integration into the POS, ensuring AI capabilities are embedded in the borrower and loan officer experience rather than sitting alongside it
- Coordination across AI and data engineering to design, scope, and ship production systems at speed
- Peer relationships with Product, Engineering, and Customer Experience, keeping AI aligned with the rest of the product surface
- Vendor and model evaluation against cost, performance, and build vs. buy considerations
- Feature intake and prioritization, including how AI feature requests are evaluated, sequenced, and delivered
Requirements:
- 8+ years in product management, with at least 3 years focused on AI/ML products in production
- Demonstrated experience shipping AI-powered features end-to-end, from problem definition through model deployment and evaluation
- Experience managing or mentoring AI engineers or data engineers directly
- Strong technical fluency: Can read API docs, evaluate model outputs, and collaborate with ML engineers without a translator
- Strong data engineering fluency: Can reason about pipelines, schemas, data quality, and the infrastructure AI products depend on
- Experience with LLM-based systems, including prompt design, RAG architectures, document intelligence, or similar
- Track record of shipping AI features quickly, with a bias for learning through production deployment
- Writes crisp product specs, leads cross-functional reviews, and presents to executives
- Proven ability to manage peer relationships across Product, Engineering, and Customer Experience
- Data-driven prioritization discipline: Knows how to evaluate impact, weigh tradeoffs, and say no
- Fintech, mortgage, or regulated industry experience
- Awareness of how AI systems operate in regulated environments and how that impacts product design
- Familiarity with AWS cloud AI services (Bedrock, SageMaker) or equivalent cloud AI platforms
- Experience with document AI including classification, extraction, completeness, or verification workflows
- Hands-on familiarity with modern data warehouses (Snowflake, BigQuery) and transformation tools (dbt)
- Product analytics tools (PostHog, Pendo, Mixpanel) and SQL proficiency
- Experience scaling a small AI product or engineering function