Senior/ Marketing Manager, Lifecycle and CRM

Responsibilities

• Own omni-channel lifecycle marketing strategy and execution across email, push, and in-app messaging for both B2C and B2B audiences
• Drive product-led onboarding, activation, and free-to-paid conversion programs for individual users
• Build and operate the unified lifecycle platform and playbook that the Enterprise Marketing team's lifecycle executor operates within
• Convert Replit's large base of individual users into qualified B2B opportunities through behavioral signals and workplace expansion triggers
• Select, implement, and scale the marketing automation infrastructure, including segmentation frameworks and behavioral trigger architecture
• Establish lifecycle attribution and reporting on engagement, retention, conversion, and LTV
• Build a rigorous testing culture across messaging, creative, timing, segmentation, and journey design, leveraging AI tooling to scale experiment volume
• Partner with our AI-driven marketing automation and analytics teams to scale personalization and integrate lifecycle signals across the marketing stack
• Partner with Product, Data Science, and Engineering to define behavioral signals and implement technical solutions

Requirements

• 8+ years in lifecycle marketing, CRM, or growth marketing, with experience managing both B2C self-serve and B2B sales-led motions
• Proven track record building lifecycle marketing from zero-to-one as the first or early lifecycle hire at a growth-stage company
• Expert-level knowledge of email, push, and in-app messaging best practices, including deliverability, engagement optimization, and compliance (CAN-SPAM, GDPR, CCPA)
• Hands-on experience with marketing automation platforms (Braze, Iterable, Customer.io, Marketo, or similar)
• Strong track record improving conversion rates, retention, and LTV through experimentation with A/B testing, paywall optimization, and in-app messaging
• Obsessive focus on testing; you connect data from disparate sources, design experiments, interpret results quickly, and continuously improve performance
• Experience partnering with Product and Engineering to define requirements and implement technical solutions
• SQL proficiency for querying product data and building audience segments without depending on engineering or analytics teams is strongly preferred and a meaningful differentiator for success in this role
• Experience marketing to non-technical audiences, optimizing onboarding for PLG SaaS products, or working at high-growth tech companies is a plus