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Mixpanel is a leading product intelligence and analytics platform trusted by 29,000+ companies. The Customer Value Architects team sits within the revenue organization and bridges the gap between what customers purchase and the actual value they realize from Mixpanel.
In this role, you will own the adoption and value plan for a defined portfolio of accounts, serving as a relationship-first advisor who connects each customer's Mixpanel investment to measurable business outcomes. You'll work across onboarding, adoption, and renewal cycles to ensure customers achieve their expected ROI.
Key responsibilities include:
- Owning end-to-end value plans for each account, connecting business problems to measurable outcomes
- Building trusted relationships with business and technical stakeholders across customer organizations
- Running discovery sessions to understand customer priorities and translating findings into concrete adoption plans
- Partnering with Account Executives on expansion opportunities and renewal counterparts on renewal execution
- Leading enablement and best-practices sessions on dashboard design, funnel analysis, and retention modeling
- Monitoring usage and health signals, conducting business reviews to surface opportunities and mitigate risk
- Identifying underused features and contracted capabilities, converting them into clear recommendations
- Triaging product questions and escalations, routing complex issues to appropriate teams
- Developing a point of view on customer AI maturity and leveraging Mixpanel's AI capabilities to drive value
- Coordinating with GTM, Product, and Engineering teams on escalations and sharing learnings across the team
You should have experience in customer success, consulting, or related B2B SaaS support roles. You excel at managing relationships across diverse stakeholder groups, translating technical concepts into business language, and turning product usage into compelling ROI narratives. Hands-on experience with AI tools, agentic workflows, or LLM copilots is expected. Background in product analytics, growth, data-driven development, technical advisory, or analytics instrumentation is a plus.
