Senior Product Manager, AI & Data

About the Position

We are seeking a Senior Product Manager, AI & Data to join our fintech team in the United States. This role is remote and offers a salary band of $90,000 – $150,000 depending on experience and location.

About the Company

Our mission is to build enterprise software and products that empower people to make mortgage lending simpler and more accessible. Founded in 2015 by homebuyers who were shocked by the complexity of the mortgage process, Maxwell has grown into a leading innovator in the industry. Our digital mortgage platform powers hundreds of mortgage lending institutions nationwide, enabling homeowners to achieve the American Dream.

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.
• 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.

Nice to Have

• 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.

We Offer

• Competitive salary band of $90,000 – $150,000 depending on experience and location.
• Remote work options.
• Professional development opportunities.
• Collaborative and innovative work environment.

What Success Looks Like

• A clear AI product roadmap exists and is being executed against within 90 days.
• AI capabilities embedded in the POS are measurably more accurate, reliable, and cost-efficient within 180 days.
• AI engineers and data engineers are productive, unblocked, and shipping.
• Product, Engineering, and Customer Experience are aligned on what AI can and cannot do, and why.
• Feature intake has a defined process.
• Leadership turns to you for clear, real-time visibility into what’s happening in AI.