product
Posted 3 hours agoSenior Product Manager, Customer Insights
at Mural
United StatesRemote
Responsibilities
- Build the user facing experiences and the data foundation to turn raw data into shared, clear, and actionable narratives.
- Define Mural’s POV on what AI-native insights look like as the category shifts from static dashboards to proactive, conversational, agentic interfaces.
Requirements
- You’ll work across three layers in parallel: - The canonical usage data layer: This is the foundation that powers Company Insights today and needs to be deliberately built and enriched so other surfaces such as engagement, growth, AI, can consume it tomorrow.
- - The AI-native expansion: How Mural incorporates natural language queries, agentic workflows, and proactive analytics to evolve and extend the insights surface.
- experience - Define the usage data layer in partnership with Engineering and Data including the metrics that anchor renewal and expansion narratives - Evolve customer-accessible audit logs to be enterprise ready - Define Mural's POV on AI-native insights and ship the first set of AI-powered capabilities on this surface - Partner with Sales and Customer Success to translate insights into the narratives that win renewals and unlock expansion - Engage directly with enterprise Admins, IT, and Security
- Experience with enterprise admin or governance products (IAM, security, compliance, audit) - Background in BI, analytics platforms, or data products -
- Experience designing customer-facing APIs for analytics and reporting WHY YOU'LL LOVE MURAL Customer Insights sits at the intersection of three valuable surfaces - and the surface you’ll own directly drives the conversations that grow Mural’s largest accounts.
Benefits
- Experience partnering with Sales and Customer Success on renewal and expansion narratives - Excellent communication across data, design, engineering, and revenue-facing stakeholders BONUS -
- The base salary for this role ranges from $160,000 - $215,000 + bonus + benefits.
- Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.