Lifecycle Marketing Manager

Join our team as a Lifecycle Marketing Manager, where you will be responsible for scaling our rider and user retention ecosystem. This role combines marketing analytics, data science, and user experience design. You will own our lifecycle ecosystem, design and execute sophisticated experiments, and approach CRM with a product-management mindset. The ideal candidate has 5+ years of experience in lifecycle or growth marketing, strong analytical skills, and technical proficiency with CRM engines.

Missions

• Act as the single source of truth and ultimate driver for lifecycle campaigns, architecting the cross-channel strategy based on macro business goals.
• Design, execute, and measure sophisticated Multi-Armed Bandit (MAB) experiments to dynamically optimize content, send-times, and offer allocations based on real-time user feedback loops.
• Partner with Data Science to leverage behavioral clustering and advanced segmentation models to deliver hyper-personalized user journeys at scale.

Profil recherché

- Data & Analytics Foundation: Strong background in marketing analytics. High proficiency with data visualization tools (Tableau, Looker) and strong spreadsheet modeling skills. Comfort with SQL is a significant advantage (nice to have) to pull your own datasets and validate raw data streams

- CRM Expertise, preferably in Braze

- The "Quantitative + Creative" Balance: Strong marketing instincts (compelling positioning, user psychology, messaging hierarchies) paired with an analytical mind that lives for conversion rate metrics, cohort retention drops, and user lifetime value (LTV)

- Technical CRM Mastery: Deep, hands-on technical proficiency with enterprise CRM engines (Braze experience is strongly preferred, including familiarity with Liquid personalization, Canvas, API triggers, and Connected Content)

- 5+ years of dedicated lifecycle or growth marketing experience in a fast-paced B2C environment (on-demand services, micromobility, marketplace, or mobile-first apps highly preferred)

- Proven Lifecycle Experience: 4+ years of dedicated lifecycle or growth marketing experience in a fast-paced B2C environment (on-demand services, micromobility, marketplace, or mobile-first apps highly preferred). You’ll be able to ar

- Bachelors degree in Marketing, Operations Research, Business, Economics or related field

- Advanced Statistical & Data Literacy: Strong conceptual and practical comfort with data science methodologies. You should understand the mechanics of exploration vs. exploitation in Multi-Armed Bandits, clustering algorithms (e.g., k-means), and how to measure statistical significance across rolling algorithmic tests

- Not sure if you meet all the qualifications? If this role excites you we encourage you to apply

- Nice to have: SQL, Python skills