Senior Product Manager, AI & Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the AI product strategy and roadmap focusing on document intelligence, workflow automation, and data-driven decision making.

• Integrate AI thoroughly into Maxwell's mortgage Point of Sale, enhancing experiences for both borrowers and loan officers.

• Directly oversee AI engineers and data engineers, guiding their direction, alleviating obstacles, and nurturing team development.

• Collaborate with AI and data engineering teams to design, scope, and rapidly deliver production systems.

• Foster strong relationships with peers in Product, Engineering, and Customer Experience.

• Assess vendors and models based on cost, performance, and considerations for building versus buying.

• Manage the intake and prioritization of features, including assessment, sequencing, and delivery of AI feature requests.

• Develop an AI product roadmap within the first 90 days.

• Enhance the accuracy, reliability, and cost efficiency of POS AI capabilities within 180 days.

• Provide leadership with transparent, real-time insights into AI initiatives and progress.

⛳️ Requirements

• A minimum of 8 years in product management, with at least 3 years dedicated to AI/ML products in a production environment.

• Proven experience in delivering AI-powered features from initial problem definition to model deployment and evaluation.

• Experience in managing or mentoring AI engineers or data engineers directly.

• Strong technical fluency: Ability to read API documentation, evaluate model outputs, and collaborate with ML engineers without needing an intermediary.

• Robust data engineering fluency: Capable of reasoning about data pipelines, schemas, data quality, and the infrastructure that AI products rely on.

• Familiarity with LLM-based systems, including prompt design, RAG architectures, document intelligence, or related fields.

• Proven history of quickly delivering AI features, with a preference for learning through hands-on production deployment.

• Ability to articulate concise product specifications, lead cross-functional reviews, and present findings to executives.

• Established capability to manage relationships with peers in Product, Engineering, and Customer Experience.

• Data-driven prioritization skills: Proficient in assessing impact, weighing trade-offs, and making difficult decisions.

• Experience in fintech, mortgage, or regulated industries is a plus.

• Knowledge of how AI systems function within regulated environments is advantageous.

• Familiarity with AWS cloud AI services (Bedrock, SageMaker) or equivalent cloud AI platforms is beneficial.

• Experience with document AI workflows is a plus.

• Hands-on knowledge of tools such as Snowflake, BigQuery, dbt, PostHog, Pendo, Mixpanel, and SQL is preferable.

• Experience in scaling a small AI product or engineering function is desirable.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote working options.

• Opportunities for professional development and growth.

• Access to cutting-edge tools and technologies.