Growth Retention Sr Manager - Apparel

Jobgether; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote work from Brazil

Paid time off

Global collaboration

Professional growth

Exposure to AI and marketing tech

Job summary

Jobgether is seeking a Senior Retention Lead to own the customer retention strategy across multiple apparel brands. You will manage email, SMS, push notifications, and WhatsApp to maximize engagement and repeat purchases.

You will design the end-to-end returning customer journey, develop an integrated multi-channel plan, and define quarterly OKRs. Strong leadership, CRM expertise, and analytics are essential for delivering measurable growth.

Qualifications

• At least 7 years in customer retention or lifecycle marketing for e-commerce/retail.
• 5+ years in leadership roles guiding cross-functional teams across Marketing, Creative, Data and Tech.
• Deep knowledge of CRM, segmentation, lifecycle marketing and engagement strategies.
• Strong analytics using customer data and marketing performance metrics.
• Translate objectives into actionable roadmaps and roadmaps with measurable impact.
• Experience designing and evaluating marketing experiments and optimization.
• Bachelor's degree in Business/Engineering/Marketing/Analytics.
• Advanced English; Spanish proficiency is a plus.
• Knowledge of SQL or data tools is a strong advantage.

Responsibilities

• Own retention strategy across multiple apparel brands via email, SMS, push, and WhatsApp.
• Design and optimize end-to-end returning customer journey and campaigns.
• Develop omnichannel retention plan minimizing fatigue and unsubscribe rates.
• Define quarterly OKRs and retention roadmaps aligned with growth goals.
• Own retention metrics and translate data into strategic recommendations.
• Lead testing and optimization using customer behavior data and trends.
• Segment audiences and personalize communications to improve relevance.
• Collaborate with Data Science, Creative, IT, Growth and other teams.
• Identify AI, automation, and tech opportunities to scale retention.
• Lead cross-functional teams and drive measurable business results.

Skills

Leadership

CRM

Lifecycle marketing

Analytics

Experimentation

Cross-functional collaboration

AI in marketing

SQL

Education

Bachelor's degree in Business, Engineering, Marketing, Analytics

Tools

CRM platforms

Marketing automation tools

Analytics tools

Job description

Accountabilities:

- Retention Strategy and Leadership: Own and lead the customer retention strategy across multiple apparel brands, overseeing email, SMS, push notifications, and WhatsApp to maximize engagement, customer loyalty, and repeat purchases.

- Customer Lifecycle Management: Design and optimize the end-to-end returning customer journey, including welcome sequences, transactional communications, re-engagement campaigns, winback initiatives, and sunset strategies for inactive subscribers.

- Omnichannel Marketing Optimization: Develop an integrated, multi-channel retention strategy that delivers relevant and personalized communications while minimizing channel overlap, customer fatigue, and unsubscribe rates.

- Strategic Planning and Roadmaps: Define quarterly objectives and key results (OKRs), establish retention roadmaps, and prioritize initiatives according to their expected business impact and alignment with growth objectives.

- Performance Management and Analytics: Own key retention metrics, including revenue contribution, conversion rates, repeat purchase rates, customer lifetime value (LTV), and customer acquisition cost (CAC). Translate performance data into actionable insights and strategic recommendations.

- Experimentation and Continuous Improvement: Lead structured testing and optimization initiatives using customer behavior data, campaign performance, market trends, and competitor insights to improve retention outcomes.

- Customer Segmentation and Personalization: Strengthen CRM and lifecycle marketing strategies through audience segmentation, behavioral analysis, and personalized communication approaches that improve customer relevance and engagement.

- Cross-Functional Collaboration: Partner with Data Science, Creative, IT, Growth, and other teams to coordinate initiatives, remove execution bottlenecks, and ensure timely, high-quality delivery.

- AI and Marketing Innovation: Identify and implement opportunities to leverage artificial intelligence, automation, and emerging technologies to improve campaign effectiveness, streamline workflows, and scale retention operations.

- Team Leadership and Development: Lead and influence cross-functional teams, establish clear priorities, encourage a culture of experimentation, and ensure that strategic plans translate into measurable business results.

Requirements:

- Professional Experience: At least 7 years of experience developing and executing customer retention or lifecycle marketing strategies, ideally within e-commerce, retail, apparel, or other digital-first businesses.

- Leadership Experience: At least 5 years in leadership roles, with a proven ability to guide cross-functional teams across Marketing, Creative, Data, and Technology.

- CRM and Lifecycle Marketing Expertise: Deep knowledge of CRM platforms, customer segmentation, lifecycle marketing, and customer engagement strategies, with a strong understanding of the drivers of repeat purchases, customer loyalty, and retention.

- Analytical and Commercial Acumen: Strong analytical capabilities and experience using customer data and marketing performance metrics to identify opportunities, improve revenue, increase repurchase rates, and optimize LTV/CAC.

- Strategic Execution: Demonstrated ability to translate business objectives into actionable strategies, manage roadmaps and multiple priorities, and deliver measurable results in dynamic, fast-moving environments.

- Experimentation and Optimization: Experience designing, executing, and evaluating marketing experiments, using test-driven approaches and customer insights to continuously improve performance.

- Technology and Innovation: A hands-on, curious mindset, with a demonstrated interest in leveraging AI, automation, and emerging technologies to improve customer retention and marketing efficiency.

- Education: Bachelor's degree in Business, Engineering, Marketing, Analytics, or a related discipline.

- Language Skills: Advanced English proficiency is required to collaborate effectively in a global environment. Spanish proficiency is an advantage.

- Technical and Analytical Skills: Knowledge of SQL, data science, analytics tools, or experience collaborating closely with engineering teams is considered a strong advantage.

- Communication and Collaboration: Excellent communication, stakeholder management, and problem-solving skills, with the ability to align diverse teams around shared objectives and performance goals.

- Leadership Mindset: A proactive, data-driven, and results-oriented approach, combining strategic thinking with hands‑on execution, adaptability, and a strong commitment to continuous improvement.

Benefits:

- Competitive Compensation: USD-competitive salary.

- Remote Work: 100% remote work model, offering flexibility to work from Brazil.

- Paid Time Off: Paid time off to support work‑life balance and personal well‑being.

- Global Collaboration: Opportunity to work with a diverse, international team across multiple countries.

- Professional Growth: Exposure to ambitious e-commerce growth strategies, global consumer brands, and complex retention challenges.

- Innovation and Technology: Opportunities to work with AI, automation, and advanced marketing technologies to improve business performance.

- Strategic Ownership: The opportunity to lead high-impact retention initiatives and directly influence customer loyalty, revenue growth, and long-term business performance.

- Cross-Functional Environment: Collaboration with specialists across Marketing, Creative, Data Science, Technology, and Growth.

- Fast-Paced Culture: An experimentation-driven environment that encourages innovation, continuous learning, and data-informed decision-making.