Vice President, Engineering, Data & MarTech

Vice President, Engineering, Data & MarTech About the Company Popular online licensed sports merchandise retailer IndustryInternet TypePrivately Held, Private Equity-backed Founded2011 Employees10,001+ Categories ManufacturingRetailSporting GoodsSportsTextilesE-Commerce & MarketplaceseSportsSports & FitnessMemorabiliaE-commerce SolutionsAthleticsInternational BusinessAdvertisingAdvertising ManagementProfessional ServicesGeneral MerchandiseAgencyInformation Technology & Services Specialties e-commercemerchandisinginternetwholesaleretailsportcollectiblesbetting & gamingmobiletechonline retailand in-venue retail Business Classifications E-Commerce About the Role The Company is seeking a VP, Engineering, Data & MarTech to lead the integration of digital marketing and acquisition engineering, martech and CRM/lifecycle engineering, and the data, BI, and experimentation platform. This role is pivotal in unifying these domains to drive customer acquisition, lifecycle engagement, and data-platform engineering. The successful candidate will be responsible for setting the technical direction, leading distributed senior engineering teams, and delivering business and fan impact through bold leadership and execution excellence. Key responsibilities include owning customer-acquisition economics, driving the martech and CRM/lifecycle stack towards closed-loop messaging, and accelerating the shift to AI-native acquisition surfaces. The role demands a leader with a proven track record in growth, acquisition, or marketing-technology engineering at a consumer scale, and experience in leading platform consolidations and modernization efforts. Applicants for the VP, Engineering, Data & MarTech position at the company should have a minimum of 15 years' of engineering experience, with a focus on growth, acquisition, or marketing-technology engineering. The role requires a leader with a strong background in digital marketing, including hands-on experience with paid-media ecosystems and a deep understanding of data, attribution, and channel optimization. The ideal candidate will have a proven ability to influence and align stakeholders across various domains and experience in building and leading distributed engineering teams. A Bachelor's degree in a technical field is required, with a preference for a Master's degree. The role demands a leader who is adept at problem-solving, innovative, and can demonstrate a relentless mindset in driving results. Experience in AI-native engineering practices and a passion for continuous improvement and innovation are also essential. Hiring Manager TitleSVP of Engineering Functions EngineeringData Management/Analytics