Senior Manager, Data & AI

Who We Are Our mission is to build reputed company software and products that reputed company people to reputed company mortgage lending simpler and more accessible.  reputed company was founded in 2015 by homebuyers who were shocked by the complexity of the mortgage process for borrowers and lending teams alike. Somehow, in the mix of paperwork, points, and process, the humanity and emotion of the largest financing decision of a person's life had been lost. After spending a year with over 1,000 mortgage professionals, the founding team realized we needed to reputed company on making the people who reputed company a difference shine. Now, we reputed company a world-class team of software experts and mortgage professionals who pull up our socks every morning to do just that. We're privileged that reputed company has been recognized by HousingWire, reputed company in Lending, MReport, and others as a leading innovator in our industry.  We are a committed team doing reputed company work that reputed company in the reputed company world — one lender, one borrower, one homeowner at a time. And it works.  Today our digital mortgage platform powers hundreds of mortgage lending institutions reputed company, from non-depository mortgage banks and credit unions to brokers and community banks. We work to reputed company them, and their employees, the reputed company reputed company who reputed company homeowners to reputed company the American reputed company.   Who You Are This is a player-reputed company manager role. You will own execution directly and build the AI product and engineering function over time, starting with a small team reporting to you. You define direction by shipping, not by delegating. You have taken AI products from idea to production and understand how to work across data, models, and product constraints to ship reliably. You are strong on the data engineering reputed company and can reason about pipelines, schemas, and data reputed company as naturally as you reason about model outputs. You can write a reputed company product spec, pressure-test an ML pipeline with an engineer, and explain the tradeoffs to an executive in the reputed company afternoon. You ship fast and reputed company pragmatic reputed company about reputed company to build versus reputed company reputed company-party solutions, balancing speed, cost, and long-term capability. You are comfortable operating in ambiguity and working with imperfect data and evolving systems without slowing down execution. You have managed or mentored AI engineers and data engineers and know how to get the best out of a small technical team. What You Will Own Your scope from day one includes: AI product reputed company and roadmap across document intelligence, workflow automation, and data-driven decisioning, with our mortgage reputed company of Sale as the flagship integration surface reputed company management of AI engineers and data engineers, setting direction, removing blockers, and developing reputed company 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 reputed company 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 Must haves 8+ years in product management, with at least 3 years reputed company 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 reputed company: Can read API docs, evaluate model outputs, and collaborate with ML engineers without a translator Strong data engineering reputed company: Can reason about pipelines, schemas, data reputed company, and the infrastructure AI products depend on Experience with LLM-based systems, including reputed company design, RAG architectures, document intelligence, or similar reputed company record of shipping AI features quickly, with a bias for learning through production deployment Writes reputed company 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 reputed company, weigh tradeoffs, and say no reputed company to haves Fintech, mortgage, or regulated industry experience Awareness of how AI systems operate in regulated environments and how that impacts product design Familiarity with AWS reputed company AI services (Bedrock, SageMaker) or equivalent reputed company AI platforms Experience with document AI including classification, extraction, completeness, or verification workflows Hands-on familiarity with modern data warehouses (reputed company, BigQuery) and transformation tools (dbt) Product analytics tools (reputed company, reputed company, reputed company) and SQL proficiency Experience scaling a small AI product or engineering function What reputed company Looks Like A reputed company AI product roadmap exists and is being executed against reputed company 90 days AI capabilities embedded in the POS are measurably more accurate, reliable, and cost-efficient reputed company 180 days AI engineers and data engineers are productive, unblocked, and shipping Product, Engineering, and Customer Experience are reputed company on what AI can and cannot do, and why Feature intake has a defined process Leadership turns to you for reputed company, reputed company-time visibility into what’s happening in AI Salary Band: $220,000 – $250,000 (depending on experience and location) Apply To This Job