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Senior Director, Consumer Operations

Posted 12 days agoViewed

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💎 Seniority level: Director, 10+ years

🏢 Company: Nerdy👥 501-1000💰 $150,000,000 Post-IPO Equity over 3 years ago🫂 Last layoff over 2 years agoEducationEdTechArtificial Intelligence (AI)

⏳ Experience: 10+ years

Requirements:
  • 10+ years of leadership experience in customer success, retention, support operations, or marketplace strategy within a high-growth environment.
  • Deep expertise in two-sided marketplaces—strong understanding of supply-demand balance, user engagement, and lifecycle optimization.
  • Technology & Product Collaboration—demonstrated success partnering with Product & Engineering teams to develop and scale customer-centric solutions.
  • P&L Ownership—proven track record of managing a customer success or operations P&L, optimizing cost-to-serve while enhancing customer engagement and retention.
  • AI & Automation Expertise—hands-on experience implementing chatbots, predictive retention analytics, and automation tools to drive efficiency and engagement.
  • Customer Lifecycle & Re-Engagement Strategy—strong ability to develop and refine retention, re-engagement, and win-back strategies to extend customer lifetime value (LTV).
  • Strategic Leadership & Executive/Board-Level Influence—comfortable working with executive teams, board members, and cross-functional leaders to shape retention and engagement strategies.
Responsibilities:
  • Lead the evolution of customer retention and re-engagement strategies, focusing on long-term customer lifetime value, win-back efforts, and reducing friction in the user experience.
  • Drive continuous improvement in how we engage customers post-conversion, ensuring that every touchpoint—from onboarding to long-term retention—delivers a seamless, high-impact experience.
  • Work cross-functionally with Product, Marketing, and Operations to align retention initiatives with product enhancements, automation, and customer engagement strategies.
  • Own and continuously improve customer support and re-engagement functions, ensuring that AI-driven automation, chatbots, and intelligent routing evolve to meet changing customer needs.
  • Refine the use of predictive analytics and machine learning models to proactively reduce churn, identify high-value customer segments, and drive personalized engagement.
  • Collaborate with Data Science & Engineering to enhance retention models and early warning systems, ensuring a proactive approach to customer lifecycle management.
  • Develop and iterate on win-back and re-engagement strategies, ensuring we have effective mechanisms to bring customers back after lapses in engagement.
  • Improve segmentation and targeting models to deliver the right messaging and incentives at the right time, extending customer relationships.
  • Partner with Revenue, Finance, and Marketing to test and refine pricing, incentives, and customer journey enhancements that improve retention and maximize lifetime value.
  • Act as a strategic partner to senior leadership and the executive team, providing data-driven insights and recommendations on customer lifecycle, retention, and re-engagement strategies.
  • Own the retention & engagement P&L, ensuring investments are focused on high-impact initiatives that balance cost efficiency with meaningful customer outcomes.
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