Growth Marketing Manager – Lifecycle

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

We’re looking for a strategic, hands-on Growth Marketing Manager – Lifecycle to own and optimize the full post-acquisition customer journey for xAI’s subscription products. You’ll design, build, and iterate personalized, automated programs across email, SMS, push, in-app messaging, and other channels to turn curious users into loyal, high-value Grok subscribers — driving engagement, adoption, retention, expansion, and reduced churn.

This role sits at the intersection of growth marketing, product, data, and customer success. You’ll combine behavioral insights, segmentation, experimentation, and creative storytelling to measurably increase customer lifetime value, net revenue retention, and overall subscription growth.

• Own end-to-end lifecycle strategy and execution: map customer journeys, define key stages (onboarding, activation, habit formation, expansion, renewal, win-back), and build multi-channel automated flows
• Develop and launch high-impact campaigns and nurtures (welcome series, product education, milestone triggers, re-engagement, upsell/cross-sell, churn prevention, and subscription reactivation)
• Build and refine audience segments using behavioral, usage, and subscription data to deliver hyper-personalized experiences
• Partner closely with product, data/analytics, customer success, and engineering teams to align on triggers, messaging, and technical implementation
• Set up, monitor, and optimize experiments (A/B, multivariate) to continuously improve open rates, click-through, conversion, retention, expansion revenue, and churn metrics
• Analyze performance using SQL, Amplitude/Mixpanel, and other tools to identify drop-offs, opportunities, and ROI; report on key KPIs (activation rate, D30/D90 retention, expansion revenue, churn rate, LTV uplift, NRR)
• Collaborate on content creation (copy, creative assets) and ensure brand voice consistency across all lifecycle touchpoints
• Maintain and evolve the lifecycle marketing roadmap in line with product launches, seasonal campaigns, and business priorities
• Champion best practices in personalization, frequency management, deliverability, privacy/compliance (GDPR, CCPA), and inclusive messaging

• 4–7 years of experience in lifecycle marketing, retention/growth marketing, CRM marketing, or customer marketing (B2C e-commerce, SaaS, fintech, or consumer tech strongly preferred)
• Proven track record owning lifecycle programs that drove measurable improvements in retention, engagement, expansion, or revenue (please share case studies or results in your application)
• Hands-on expertise with marketing automation & CRM platforms (Braze, Iterable, Customer.io, Klaviyo, or similar)
• Strong analytical skills — comfortable writing SQL for cohort analysis, funnel deep-dives, and behavioral metrics
• Experience building and testing multi-channel journeys (email SMS push in-app)
• Excellent copywriting and storytelling skills — you can craft compelling, customer-centric messaging that converts
• Data-driven mindset with a bias for action and rapid iteration
• Comfortable working in ambiguous, fast-paced environments with cross-functional stakeholders

• Experience with advanced segmentation and personalization using tools like Segment, mParticle, or Census
• Background in product-led growth (PLG) environments or hybrid PLG/subscription models
• Familiarity with loyalty/rewards programs, referral mechanics, or subscription optimization (pricing, billing, upgrades/downgrades)
• Exposure to AI-driven personalization or predictive churn modeling
• Knowledge of web/mobile analytics (Google Analytics 4, Amplitude, Mixpanel) and experimentation platforms (Optimizely, VWO, Eppo)

Base Salary- $125,000-225,000

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