About Us Wrapbook is a smart, intuitive platform that makes production payroll and accounting easier, faster, and more secure. We provide a unified payroll platform that seamlessly connects your entire team—production, accounting, cast, and crew—all in one place. Wrapbook empowers production teams to manage projects, pay cast and crew, track expenses, and generate data-driven insights, while enabling workers to manage timecards, track pay, and onboard to new projects from any device. Wrapbook brings clarity and dependability to production payroll, while increasing the productivity of your whole team. Trusted by companies of all sizes, Wrapbook powers payroll for some of the industry’s top production companies, including SMUGGLER, Tuff, and GhostRobot. Our growing team of 250+ people across the USA and Canada, including entertainment and technology experts from SAG-AFTRA, DGA, IATSE, Teamsters, Amazon, Microsoft, Facebook, and more. Wrapbook is backed by top-tier investors, including Jeffrey Katzenberg’s WndrCo, Andreessen Horowitz, and A* Capital. We have raised $130M and are in a strong financial position. THE OPPORTUNITY — SENIOR PRODUCT MANAGER II, DATA & REPORTING Do you love tackling complex and technically challenging problems? Are you a self-starter who is energized by solving problems for the customer? Do you have an entrepreneurial calling to create new products, and have an unrelenting tenacity to get things done? Is who you work with as important to you as what you work on? Then this is the role for you. We are looking for a Senior Product Manager II to own the data foundation and customer-facing reporting that sit at the core of Wrapbook's product. This is one of the highest-leverage roles in our product organization: the work you do doesn't just ship one feature — it determines whether our AI bets are reliable, whether our enterprise customers can trust their financial reporting, and whether production finance teams have the visibility they need to close the books with confidence. In the near term, your most important problem is building a flexible, enterprise-grade reporting foundation — one that scales to episodic production volumes, covers the reports that production accountants and studio finance teams depend on across the full production lifecycle, and can grow as our product expands into new segments. You'll also own the data quality and pipeline strategy that powers Wrapbook's AI features and integrations. This is a role for someone who thinks in systems. You understand that clean, well-structured data isn't just a backend concern — it's the prerequisite for everything else Wrapbook wants to be. WHAT YOU'LL DO - Own the reporting roadmap. Define and drive the foundation for flexible, enterprise-grade reporting — identifying the full set of reports production companies and studios require, building the infrastructure to support them at scale, and ensuring every report is accurate, auditable, and fast. - Set the data quality and pipeline strategy. Own the roadmap for how Wrapbook's production, payroll, and accounting data is structured, validated, and made accessible. Ensure data quality standards are in place so that AI features, reporting, and integrations are working from a reliable source of truth. - Partner with AI-focused PMs to ensure the data substrate is clean and structured enough for AI bets to work reliably. You won't own the AI features — you'll own the foundation they depend on. - Define the path to scalable data infrastructure. Work with engineering to evaluate and implement the right data architecture (including Snowflake connectivity) to enable cross-production insights, flexible reporting, and long-term data access for customers and internal tools. - Design for diverse customer workflows. Production companies and studios have different reporting needs depending on production type, scale, and accounting structure. Ensure the reporting platform is designed to serve that range without fragmenting into disconnected solutions. - Engage directly with enterprise customers to understand their reporting gaps, validate priorities, and translate production accountant and finance team workflows into clear product requirements. - Write clear product requirements and supporting documents based on strong customer research and data analysis, and partner with your cross-functional stakeholders to bring projects to engineering-ready. - Execute with a dedicated team, partnering with your Engineering Manager to lead the team through discovery, delivery, and iteration. - Partner closely with the Analytics team to align on data definitions, shared data models, and source of truth. Ensure that the infrastructure built for customer-facing reporting also serves internal analytics needs — avoiding parallel pipelines and conflicting definitions that erode trust in the data over time. - Measure and communicate impact — tracking report adoption, data pipeline reliability, and the downstream effect of your work on AI feature performance and customer outcomes. WHAT YOU'LL HAVE - 6+ years of product management experience, with meaningful time owning data-intensive products — analytics platforms, reporting infrastructure, BI tools, or similar. - Technical fluency with data pipelines, data modeling, and reporting infrastructure. SQL proficiency expected; experience with tools like Snowflake, dbt, or similar is a strong plus. - A point of view on how canonical business metrics should be defined and governed upstream of reporting — and why this matters for data trust across a product with multiple consumers of the same numbers. - Experience building enterprise-grade reporting products — a deep understanding of what finance, accounting, and operations teams need from a reporting layer, and how to build for auditability and scale. - Experience building self-serve or configurable reporting capabilities — where customers shape their own vi