Staff Product Manager, Data

Built is the AI-first platform for construction and real estate finance, managing over $300 billion in annual capital for more than 340 lenders, including 45 of the top 100 U.S. banks. Every draw, inspection, budget change and payment that moves through Built leaves behind data our customers need to manage risk and run their portfolios. Turning that data into products lenders rely on every day is one of the biggest opportunities in front of us. We're hiring a Staff Product Manager, Data to own the data capabilities and reporting tools that sit on top of the Built platform: embedded reporting and analytics, portfolio insights, data delivery into customer systems, and the data foundation our AI features depend on. You'll directly manage two data scientists and two technical analysts while partnering closely with data engineering and application product teams.

Responsibilities

Own the strategy and roadmap for Built's data capabilities, including embedded reporting and analytics, portfolio dashboards, data exports, and data sharing integrations; Get close to how lenders, owners, and GCs use data to make decisions, and turn that into sharp problem statements and requirements; Partner with data engineering on data models, pipelines, and data quality so the numbers customers see are accurate and on time; Drive shared metric definitions so a figure like 'percent complete' or 'funds disbursed' means the same thing in every product and every customer workspace; Work with the CLA, CLA+ and payments product teams so data is captured well at the source instead of cleaned up downstream; Shape the data that powers Built's AI features, including the AI Draw Agent and lender portfolio risk tools; Track adoption and impact of your products and use what you learn to decide what to build next; Support sales and customer success with demos, customer conversations, and enablement on platform reporting and data features; Manage and develop a team of data scientists and technical analysts, setting clear priorities and balancing ongoing reporting needs with new feature development; Guide data science initiatives from customer problem definition through validation and delivery, partnering with data scientists and engineers to turn models and insights into reliable features within Built's products

Requirements

5–8 years of product management experience, with at least 2 years owning data, analytics or reporting products in B2B SaaS; Strong SQL and comfort working directly in the data; Working knowledge of modern data stack concepts: warehouses, ELT, dimensional modeling, and BI or embedded analytics tools such as Sigma, Looker or Tableau; Experience writing requirements for data work that a data engineer can build against, including metric definitions, data contracts and acceptance criteria; A track record of shipping data features and analytics capabilities that customers adopt; Ability to explain data concepts clearly to bankers and engineers alike; Experience partnering directly with data scientists to deliver customer-facing capabilities, with enough fluency in statistical analysis, modeling, and validation to evaluate tradeoffs and explain results and limitations clearly; Experience leading work with analysts on reporting and analytics products; readiness to coach and develop data scientists and technical analysts is essential

Nice to have

Experience in financial services, lending, real estate, or construction is a strong plus; Prior people management experience is a plus

Benefits

Equity in the form of stock options; Market-current medical, dental and vision coverage; Unlimited PTO policy; Uncapped vacation [US ONLY]; 401k with match and expedited vesting [US ONLY]; Learning Grant program to support ongoing professional development