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Opendoor is building the modern system of homeownership, enabling people to buy and sell homes on their own terms through an end-to-end online experience.
You will run day-to-day execution and optimization of Opendoor's Seller lifecycle program across email, SMS, and push channels. This is a highly hands-on role where you translate lifecycle strategy into programs in market—building audiences, journeys, campaigns, triggers, and experiments in Iterable; QA-ing what goes live; analyzing performance; and determining what to test next.
Key responsibilities include:
**Turn Strategy Into Execution**: Translate lifecycle priorities into campaigns, journeys, audience logic, channel plans, and measurable customer experiences across email, SMS, and push.
**Build a Test-and-Learn Engine**: Develop and manage a testing roadmap. Identify opportunities, form hypotheses, design experiments, and use results to decide what to do next. Testing should go beyond subject lines and creative to understand who to contact, when, on which channel, with what message, and whether the intervention actually changed customer behavior.
**Analyze Performance**: Analyze campaign and funnel performance, spot patterns or anomalies, and turn data into clear recommendations. Partner with Analytics and Data Science when needed, but investigate performance independently and move beyond opens and clicks to outcomes like assessments, offers, contracts, and reactivation.
**Maintain Program Quality**: Ensure 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.
**Leverage 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 overall program quality.
Success looks like: campaigns and journeys launching reliably at a high quality bar; a clear, active testing roadmap with steady learning; decisions grounded in customer behavior and incremental business impact; quick identification and resolution of issues; Iterable used as a sophisticated lifecycle engine; AI meaningfully improving speed and quality of execution; and lifecycle strategy consistently translated into strong, measurable programs in market.
**Requirements:**
- Strong hands-on experience with Iterable, Braze, Customer.io, Klaviyo, or 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
- High test-and-learn bar with 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 day-to-day work
- Ability to take ambiguous problems and independently turn them into execution and testing plans
- Strong cross-functional communication and collaboration skills
