Staff Product Manager, Data
Built's Mission
getbuilt.com
Staff Product Manager, Data
Staff Product Manager, Data
Our Guiding Principles
Be Bold.
Help Customers Win.
Move with Urgency & Purpose.
Own the Outcome.
Never Satisfied.
What You’ll Do
- 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.
What You’ll Bring
- 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.
What Success Looks Like at Six Months
- You've published a data roadmap that product, engineering, and go-to-market leaders have bought into.
- At least one data feature improvement has shipped, and you can show its adoption with real usage numbers.
- Core reporting metrics have agreed definitions and named owners, and customer escalations about numbers not matching are trending down.
- Product teams across the business treat you as their partner for anything data related.
AI & Technology Expectations
- Leverage AI tools to enhance the productivity, quality, and speed of your work.
- Use AI to support drafting, analysis, summarization, and problem-solving across your role.
- Identify opportunities to streamline workflows and reduce manual effort through automation and AI.
- Apply AI to sharpen decision-making and strengthen strategic insights.
- Share effective AI use cases and best practices with your team.
Built's salary range for this position is $165,000 - $210,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees; your total rewards package at Built will include equity, market-current medical, dental and vision coverage, an unlimited PTO policy, and other benefits.
Travel Requirement
Perks
- The rare opportunity to radically disrupt a $1.5T industry
- Competitive benefits including: uncapped vacation [US ONLY], medical, dental & vision insurance
- Robust compensation package, including equity in the form of stock options
- Learning Grant program to support ongoing professional development
- 401k with match and expedited vesting [US ONLY]
Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We're committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, disability, genetic information, or any other characteristic protected by law.
Built is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation during the application process, please share with your Talent Partner or email .
Greenhouse Data Disclosure
Skills
Who can apply
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