Company
Technology
SeniorProductManager,CustomerInsights
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Product Manager, Customer Insights. Skills: Customer Insights, Data Products, AI-powered insights. Own Customer Insights product area. Define usage data architecture”
What You'll Achieve.
Support customer renewals; Support expansion opportunities; Meet governance requirements; Meet compliance requirements; Meet operational requirements
Industry & Context.
Transform complex business questions
What They're Looking For.
Must Have
4+ years product management experience, 2+ years building analytics/reporting/BI/data products, Expertise in data products, Experience with data modeling, Experience with instrumentation strategies, Experience with metrics design, Experience with data pipelines, Experience with analytical frameworks, Ability to work with engineering teams, Ability to work with data teams, Experience developing AI-enabled products, Proven success translating business needs, Experience partnering with customer-facing teams
Nice to Have
Experience building enterprise administration products, Experience building governance products, Experience building identity management products, Experience building security products, Experience building compliance products, Experience building audit-related products, Background in business intelligence platforms, Background in analytics solutions, Background in data-focused products, Experience designing customer-facing APIs
What You'll Do.
Own Customer Insights product area
Define usage data architecture
Ensure data scalability
Align business metrics
Design reporting experiences
Enhance analytics experiences
Design dashboard experiences
Enhance audit logs experiences
Design API experiences
Drive AI-powered insights vision
Implement AI-powered insights
Collaborate with Sales teams
Collaborate with Customer Success teams
Translate insights into narratives
Engage with enterprise stakeholders
Understand stakeholder needs
Validate stakeholder priorities
Ensure solutions meet requirements
Partner with adjacent product teams
Create seamless experiences
Transform business questions
Develop user-centric solutions
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Work with engineering teams; Work with data teams; Partner with adjacent product teams; Collaborate with Sales teams; Collaborate with Customer Success teams
Communication Scope
Stakeholder management; Customer narratives
Process & Methodology
Roadmap development, Prioritization
Full Job Description
## Accountabilities Own the Customer Insights product area end-to-end, including strategy, roadmap development, prioritization, and execution across data foundations and customer-facing experiences. Define and evolve the underlying usage data architecture, ensuring data quality, scalability, and alignment with business metrics that support customer retention, growth, and value measurement. Design and enhance reporting, analytics, dashboards, audit logs, and API experiences that deliver actionable insights to enterprise administrators, executives, and internal teams. Drive the vision and implementation of AI-powered insights capabilities, including natural language interactions, proactive analytics, and intelligent workflows. Collaborate closely with Sales and Customer Success teams to translate product insights into compelling customer narratives that support renewals and expansion opportunities. Engage directly with enterprise stakeholders to understand needs, validate priorities, and ensure solutions meet governance, compliance, and operational requirements. Partner with adjacent product teams to create seamless experiences across administration, identity management, security, and compliance domains. Transform complex and ambiguous business questions into scalable, user-centric product solutions. Requirements 4+ years of product management experience, including at least 2 years building analytics, reporting, business intelligence, or data-driven products for administrative or business users. Strong expertise in data products, including experience with data modeling, instrumentation strategies, metrics design, data pipelines, and analytical frameworks. Demonstrated ability to work effectively with engineering and data teams while balancing technical considerations such as aggregation, data freshness, granularity, and scalability. Experience developing or contributing to AI-enabled products, with a strong understanding of emerging trends in AI-native user experience
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