Marketing Manager, Lifecycle at Opendoor in Miami, FL; Phoenix, AZ; Toronto, Canada

Job description

• We’re looking for a Marketing Manager, Seller Engagement to run the day-to-day execution and optimization of Opendoor’s Seller lifecycle program across email, SMS, and push.
• Lifecycle sets the broader engagement strategy. You’ll turn that strategy into programs in market — building audiences, journeys, campaigns, triggers, and experiments in Iterable; QAing what goes live; analyzing performance; and determining what to test next.
• This is a highly hands-on role. We’re looking for someone who can take a customer or business problem, translate it into a strong lifecycle execution plan, and independently drive it from idea through measurement and optimization.
• AI is a baseline part of how we work and should be embedded throughout campaign development, QA, analysis, documentation, and experimentation.
• Seller lifecycle campaigns and journeys launch reliably and at a high quality bar.
• There is a clear, active testing roadmap and a steady pace of learning.
• Decisions are grounded in customer behavior and incremental business impact, not channel metrics alone.
• Issues in audiences, journeys, suppression, frequency, or execution are identified and resolved quickly.
• Iterable is used as a sophisticated lifecycle engine, not simply an email deployment tool.
• AI meaningfully improves the speed and quality of execution.
• Lifecycle strategy is consistently translated into strong, measurable programs in market.

Responsibilities

• Turn strategy into high-quality execution
• Translate Lifecycle priorities into campaigns, journeys, audience logic, channel plans, and measurable customer experiences across email, SMS, and push.
• Build a strong test-and-learn engine
• Develop and manage a testing roadmap. Identify opportunities, form hypotheses, design experiments, and use the results to decide what to do next.
• Testing should go beyond subject lines and creative. We want to understand who to contact, when, on which channel, with what message, and whether the intervention actually changed customer behavior.
• Know what’s working — and what isn’t
• Analyze campaign and funnel performance, spot patterns or anomalies, and turn data into clear recommendations.
• You’ll partner with Analytics and Data Science when needed, but you should be comfortable investigating performance yourself and moving beyond opens and clicks to outcomes like assessments, offers, contracts, and reactivation.
• Keep a complex lifecycle program running cleanly
• Make sure the right customers enter the right journeys, suppressions work, triggers fire, personalization is accurate, links function, and customers aren’t receiving conflicting or excessive communication.
• Strong attention to detail is critical. When something in the data or customer experience doesn’t look right, we expect you to notice and investigate.
• Get the most out of Iterable and AI
• Be deeply hands-on in Iterable, building and troubleshooting campaigns, journeys, audiences, templates, triggers, and experiments.
• Use AI as part of your everyday workflow to increase execution and testing velocity, improve QA and analysis, automate repetitive work, and raise the overall quality of the program.

Requirements

• Strong hands-on experience with Iterable, Braze, Customer.io, Klaviyo, or a comparable multi-channel marketing platform; Iterable experience strongly preferred.
• Strong lifecycle fundamentals across segmentation, personalization, behavioral triggers, journey design, suppression, cadence, and email/SMS/push execution.
• A high test-and-learn bar and experience designing meaningful experiments.
• Strong analytical instincts and comfort interpreting campaign and funnel performance.
• Exceptional attention to detail across audiences, links, personalization, rendering, QA, and production readiness.
• Comfort troubleshooting HTML and email-template issues.
• Strong AI fluency and demonstrated use of AI in your day-to-day work.
• The ability to take an ambiguous problem and independently turn it into an execution and testing plan.
• Strong cross-functional communication and collaboration skills.

Skills

Required

• Designing and running experiments
• Attention to detail

Preferred

• Iterable experience