Senior Product Manager, Reporting & Insights

Responsibilities

• Set the reporting and insights strategy: define the vision and roadmap for a multi-surface reporting system across in‑app report building, dashboards, scheduled delivery, exports, APIs/connectors, embedded partner surfaces, and AI/agent experiences.
• Deeply understand customer reporting needs: build empathy for payroll, finance, HR, executive, manager, internal operator, and partner/builder personas—translating different workflows, trust thresholds, and AI readiness levels into clear product priorities.
• Build trusted reporting foundations: own payroll‑grade reporting capabilities including standard reports, configurable report building, GL/journal exports, variance reporting, reconciliation, definitions, permissions, lineage, auditability, and observability.
• Develop intelligent insights experiences: identify where AI, anomaly detection, driver analysis, and proactive recommendations can help users understand what changed and what to do next—while keeping outputs explainable, source‑backed, and compliant.
• Deliver through strong cross‑functional execution: partner with Data, Engineering, Design, Security, Legal, Sales, CX, Finance, Operations, and partners to turn customer needs into technically sound, scalable reporting solutions.
• Measure and improve impact: establish KPIs for adoption, engagement, trust, report accuracy, distribution usage, retention, expansion, and internal leverage; continuously use feedback and data to improve the product.

Requirements

• Senior‑Level Experience: track record as a Product Manager with a strong focus on reporting, analytics, data platforms, workflow, or insights products.
• Proficiency in Cursor and/or Claude Code (Required): you must be able to autonomously build, debug, and ship functional code and prototypes—not just write specs. You can understand data schemas, query patterns, analytics code, and AI‑assisted workflows hands‑on.
• Data Understanding & Fluency (Required): strong end‑to‑end data literacy across models/schemas, lineage, and report generation. Comfortable with grain/joins/aggregations and common pitfalls (double‑counting, currency/timezones, effective dating, late‑arriving data).
• Able to read/write SQL to validate results, investigate discrepancies, and ensure metrics are well‑defined, reconciled, and trustworthy. Partner effectively with Data/Engineering to resolve definition and modeling issues.
• Customer Focus: deep empathy for customers and a strong sense of what matters most in their day‑to‑day workflows.
• Stakeholder Management: strong ability to align cross‑functional stakeholders, navigate trade‑offs, and keep teams focused on what matters most for customers.
• Strong UX Sensibilities: a passion for effortless experiences. You believe that complex data, reporting, and insights workflows should feel simple, trustworthy, and useful to the end user.
• Outstanding Communication: excellent written and verbal communication skills. You can explain complex data, reporting, AI, and compliance trade‑offs to non‑technical executives and clearly articulate value to customers and internal stakeholders.
• Language: business‑level proficiency writing and speaking English.
• Domain Expertise (nice to have): experience with HR Tech, payroll, finance, compliance, or B2B SaaS products. You understand data models, reporting needs, compliance constraints, and common workflow pain points in this space.