Growth Marketing Manager, Email and Lifecycle

Core Responsibilities

• Own and scale Arena's email and lifecycle strategy across onboarding, activation, retention, and re-engagement.
• Design and execute multi-channel lifecycle programs (email, in-product messaging, and notifications) that drive meaningful user engagement.
• Build segmentation and personalization frameworks rooted in behavioral data and user intent.
• Partner with Product and Engineering to implement lifecycle tooling, event tracking, and automation infrastructure.
• Develop and run A/B and multivariate tests across subject lines, content, timing, and frequency to continuously improve activation, retention, and conversion.
• Analyze campaign and funnel performance, identify opportunities, and translate findings into clear strategic recommendations.
• Write compelling, on-brand copy across all lifecycle touchpoints from developer digests to re-engagement sequences.
• Work cross-functionally with Product, Data, and Marketing to align lifecycle efforts with product launches and growth initiatives.

Requirements

• 5+ years of experience in lifecycle, email, or CRM marketing, ideally at a product-led growth or developer-focused company.
• Proven track record building and optimizing lifecycle programs that drive measurable improvement in activation, retention, and engagement.
• Strong copywriting skills, able to write clearly and compellingly for both technical and non-technical audiences.
• Hands-on experience with email and marketing automation platforms (e.g., Customer.io, Braze, HubSpot, or similar).
• Data-driven approach: comfortable pulling your own data, running A/B tests, and translating results into actionable recommendations.
• Experience partnering with Product and Engineering to build and ship lifecycle infrastructure.
• Working knowledge of email deliverability, list hygiene, and compliance (CAN-SPAM, GDPR).

Preferred Qualifications

• Experience marketing to developer, research, or technical audiences.
• Familiarity with the AI/ML landscape, enough to engage credibly with model releases, benchmarks, and evaluation concepts.
• Experience using AI tools and agents day-to-day to scale output, move faster, and push what's possible for the channel.
• Ability to move quickly, build v1 programs fast, learn from them, and iterate.