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Senior Product Manager II - Agreement Data Platform
WrapbookRemote - US & Canada · Remote · full time · Senior
$156,500 – $241,500
Listed on Wrapbook’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Own the data model and tooling that underpins Wrapbook's payroll engine, designing how union agreements, wage tables, and compliance rules flow through the system. This role suits experienced product managers who think in systems and data structures, work closely with engineering, and thrive on problems where one good decision cascades across an entire product.
Our summary, not Wrapbook’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years of product management in SaaS, fintech, or similarly complex technical environments
- Meaningful experience owning platform, infrastructure, or data-platform products
- Strong technical orientation with ability to reason about data models, service boundaries, integrations, and data flows
- Daily use of AI tools to do your job, with specific ability to articulate how AI has changed your PM work
- Experience owning products with high cross-team surface area where other teams depend on your systems or data
- Excellent written communication for clear, structured, decision-oriented specs and data contracts
- Strong analytical and problem-solving skills with ability to become a subject-matter expert quickly
- Ability to independently leverage data using SQL, Pendo, Omni, or Snowflake to uncover insights
- Bias toward action balanced with attention to compliance and quality
Nice to have
- Payroll, fintech, or entertainment industry experience, especially with complex compliance or regulatory requirements
- Experience owning a data model, rules engine, configuration platform, or internal-tooling-for-operators product
- Experience building admin panels or self-serve configuration surfaces that moved work from engineering to operations
- Experience extracting a service or drawing enforced interface boundaries inside large codebases
- Built prototypes, internal tools, or workflows using LLMs, MCPs, or AI-assisted development tools beyond just using them