Senior Product Manager, Analytics Features
Pubblicato il 04-10-2026 - Jobgether in Verona
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager, Analytics Features based in Italy.
This is a senior product leadership opportunity focused on building analytics products that help app businesses make better monetization decisions.
You will own the strategy, vision, and roadmap for a suite of analytics capabilities, including dashboards, charts, benchmarking, and predictive LTV.
The role combines product strategy with deep analytical and technical problem-solving in a highly data-driven environment.
You will work closely with engineering, data science, design, leadership, and go-to-market teams to turn complex data into actionable customer insights.
You will also investigate data issues, develop meaningful metrics and benchmarks, and identify opportunities to improve customer outcomes.
The position offers significant autonomy, with responsibility for making product decisions, experimenting rapidly, and delivering measurable business impact.
You will join a fully remote,
international environment where ownership, customer focus, systems thinking, and a strong bias toward shipping are highly valued.
Accountabilities
- Own the product strategy, vision, roadmap, and prioritization for the analytics product portfolio, ensuring initiatives are cohesive, scalable, and aligned with broader product objectives.
- Lead the development and evolution of analytics capabilities, including charts, dashboards, benchmarking, metrics, and predictive lifetime value features.
- Work closely with customers to understand their needs, investigate complex analytics and data problems, distinguish meaningful signals from noise, and translate insights into impactful product opportunities.
- Develop, recommend, and maintain benchmarks and metrics that help app developers understand performance, identify opportunities, and improve monetization.
- Act as a key point of expertise when data or m