Email Marketing Manager

Overview

Own lifecycle marketing across Valerie's e-commerce partner brands as a Klaviyo expert Email Marketing Manager. Build customer journeys and campaigns that improve customer experience, strengthen customer relationships, and drive measurable business results.

What you'll do

• Build welcome flows, abandoned cart journeys, post-purchase experiences, product launches, and win-back campaigns.
• Build lifecycle journeys that improve customer experience and revenue.
• Use segmentation, automation, and personalisation to create high-performing campaigns.
• Combine creativity with data to improve every campaign launched.
• Build campaigns for different stages of the customer journey.
• Analyse performance and turn data into actionable recommendations.
• Collaborate with designers, copywriters, and marketers to bring campaigns to life.
• Experiment with new messaging, send times, and AI-powered workflows.
• Take ownership of work and build systems that scale across multiple brands.
• Plan and execute automated email and SMS journeys.
• Measure campaign performance using analytics platforms.

What you'll need

• 3+ years of experience in lifecycle, CRM, or email marketing, ideally within ecommerce.
• Strong hands-on experience with Klaviyo.
• A solid understanding of customer segmentation, lifecycle marketing, and conversion optimisation.
• Experience planning and executing automated email and SMS journeys.
• Comfort working with GA4, Triple Whale, or similar analytics platforms to measure performance.
• Strong project management and communication skills.
• Experience working across creative and marketing teams.
• A portfolio or case studies demonstrating campaign strategy and commercial impact.

Nice to have

• Experience with Omnisend, ActiveCampaign, or similar platforms.
• Experience with HTML/CSS for email template customisation.
• Experience working in a high-growth startup, agency, or ecommerce business.
• Familiarity with AI tools for content generation, segmentation, or campaign optimisation.
• Experience with predictive analytics, customer lifetime value modelling, or experimentation frameworks.

Details

• Location: India.
• Work mode: Remote.