Senior Product Manager, Reporting & Insights
New
J
JobgetherB2B SaaS
GermanyFull-TimeSenior
SalaryBase salary range of approximately $60,000–$135,000 depending on location, experience, skills, and market factors.
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Job Details
- Languages
- Business-level proficiency in English
- Required Skills
- SQLProduct ManagementRESTful APIsData modelingData analytics
Requirements
- Proven experience as a Product Manager, with a strong focus on reporting, analytics, data platforms, workflow products, or insights-driven solutions.
- Strong technical foundation with the ability to understand cloud architectures, APIs, data models, schemas, and modern software development practices.
- Proficiency with AI-assisted development tools such as Cursor and/or Claude Code, with the ability to build, debug, and prototype functional solutions independently.
- Strong data literacy, including experience with data models, lineage, reporting logic, SQL validation, metrics definitions, and troubleshooting data quality issues.
- Ability to understand complex reporting requirements and translate them into simple, user-friendly product experiences.
- Experience managing cross-functional teams and aligning stakeholders around product priorities and business outcomes.
- Strong UX mindset with a passion for creating intuitive, trustworthy, and accessible user experiences.
- Excellent written and verbal communication skills, with the ability to explain technical and data-related concepts to both technical and non-technical audiences.
- Business-level proficiency in English.
Responsibilities
- Define and own the product vision, strategy, and roadmap for reporting and insights experiences, including dashboards, report builders, exports, APIs, scheduled delivery, and AI-assisted insights.
- Understand customer needs across payroll, finance, HR, operations, executives, and partner teams to translate workflows and challenges into clear product priorities.
- Build trusted reporting foundations, including standardized reports, configurable reporting tools, data definitions, permissions, lineage, auditability, and reconciliation capabilities.
- Partner closely with engineering, data, design, security, legal, sales, customer success, and operations teams to deliver scalable and reliable product solutions.
- Use customer feedback, analytics, and business metrics to measure adoption, engagement, accuracy, trust, and overall product impact.
- Identify opportunities where AI, automation, anomaly detection, and intelligent recommendations can improve decision-making while maintaining transparency and compliance.
- Drive alignment across stakeholders, manage trade-offs effectively, and ensure teams remain focused on delivering meaningful customer outcomes.
- Promote strong product practices by balancing customer value, technical feasibility, operational excellence, and long-term scalability.
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