Responsibilities

• Own lifecycle strategy and execution across email, SMS, and push, from planning through optimization.
• Build always-on journeys spanning onboarding, conversion, cross-sell, retention, reactivation, and win-back.
• Design, present, and ship new campaigns and ad hoc sends that grow sales while protecting customer trust.
• Optimize cadence, offers, and incentive strategy to lift engagement without driving fatigue or unsubscribes.
• Partner with the data team to define and maintain segments and lifecycle stages, with live reporting on cohort size, value, and movement between stages.
• Drive behavior-based, triggered, and dynamic messaging from first-party data, starting with the highest-volume audiences and working toward the niche.
• Serve as the in-house owner of the ESP and CRM stack, from configuration and integrations through the data flows that feed it.
• Protect deliverability and sender reputation, and partner with Product on consent and compliance across email and SMS.
• Build or co-build tooling that automates journey auditing, segment refresh, content variation, and reporting.
• Help shape, test, and iterate the automation roadmap as new capabilities become available.

Requirements

• 5 to 8 years in CRM, lifecycle, retention, or database marketing, with your tactical depth intact, whether you rose quickly and stayed close to the craft or are a more senior operator returning to hands-on work.
• Tactical mastery of email, SMS, and push execution, segmentation, and journey building. You get the most out of the tooling yourself.
• Demonstrated use of AI at a software level. You have built or co-built tools, with a technical partner, a software kit, or on your own, that turn best practices into automated auditing, optimization, and reporting. This is beyond prompting in a chat interface.
• Strong analytical skills, comfortable with cohort and LTV analysis and turning data into action.
• A self-directed operator who can carry a function forward with data and engineering support.

Preferred

• Hands-on experience with an ESP or CRM platform (Iterable, Braze, Klaviyo, or similar) and with deliverability and consent compliance.
• Experience with predictive modeling and segmentation in partnership with a data team.
• A track record of scaling program output faster than team size.
• Sports, entertainment, and/or two-sided marketplace experience.
• Bachelor’s degree in engineering or the sciences.
• A hybrid in-office approach, enabling remote work a portion of each week.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan Contribution (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Holidays)
• Family Leave (Maternity, Paternity)
• Training & Development
• $100 Monthly Stipend to Attend Live Events
• Employee Outings
• Free Lunch & Snacks