Senior Product Manager (Data and Reporting)

Role Overview

Join Wrapbook as a Senior Product Manager II (Data and Reporting). You will own the data foundation and customer-facing reporting that power the core of the product, building an enterprise-grade reporting foundation that is accurate, auditable, and fast.

Key Missions / Responsibilities

• Own the reporting roadmap and drive the foundation for flexible, enterprise-grade reporting.
• Ensure report accuracy, auditability, and performance.
• Set data quality and pipeline strategy.
• Own the roadmap for how Wrapbook structures, validates, and makes accessible production, payroll, and accounting data.
• Partner with AI-focused PMs to ensure the data substrate is clean and structured for reliable AI use cases.
• Define the path to scalable data infrastructure.
• Engage directly with enterprise customers and production/accounting stakeholders.
• Write clear product requirements and data specifications that engineering can implement without ambiguity.

Requirements

• Experience building enterprise-grade reporting products.
• Deep understanding of what finance/accounting/operations teams need from reporting, including auditability and scale.
• Ability to define and govern canonical business metrics upstream of reporting (for data trust).
• Strong written communication and precise product/data requirement writing.
• Customer empathy and problem-solving mindset; comfortable working with production accountants and finance executives.
• Strategic vision + execution rigor (deliver near-term wins while defining long-term data architecture).
• Technical fluency with data pipelines, data modeling, and reporting infrastructure; SQL proficiency expected.
• 6+ years of product management experience, including meaningful time owning data-intensive products (analytics/reporting infrastructure/BI-like tools).
• Systems thinking around how upstream data quality impacts downstream consumers (AI features, customer reports, integrations, and internal tools).

Nice to Have

• Experience with financial software, payroll, accounting, or entertainment production.
• Experience building self-serve/configurable reporting (customers shaping views/cadences).
• Familiarity with embedded analytics patterns.
• Experience with data tools such as Snowflake and dbt (or similar).