Staff Product Manager, Data

Built is hiring a Staff Product Manager, Data to own data capabilities and reporting tools across its platform for construction and real estate finance. The role sets the roadmap for analytics, portfolio insights, data integrations, and data foundations, partnering with engineering and product teams to deliver reliable data value to customers.

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

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. You can answer your own questions and validate what engineering builds
• 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 in financial services, lending, real estate, or construction is a strong plus