Note: The job is a remote job and is open to candidates in USA. Maxwell builds enterprise software and products that make mortgage lending simpler and more accessible. The Senior Product Manager, AI & Data will own AI product strategy and roadmap while directly managing AI and data engineers, integrating AI into the mortgage Point of Sale, and shipping reliable production systems. The role also coordinates cross-functional teams, evaluates vendors and models, and prioritizes AI features.
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
Skills
- 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
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