VP, Engineering, Data & MarTech

Fanatics Commerce • San Mateo, CA

7h • $300,000 - $375,000 • Hybrid

About The Position

Fanatics Commerce is seeking a VP, Engineering, Data & MarTech to play a critical role in unifying customer acquisition, lifecycle engagement, and data-platform engineering into a single revenue-driving organization. This VP-scope engineering leadership role will own three integrated domains: digital marketing and acquisition engineering (including 130+ orchestrated pipelines, paid-media integrations, and emerging GenAI acquisition surfaces), martech and CRM/lifecycle engineering (multi-channel orchestration across email, SMS, and app push powered by Adobe Experience Platform, Journey Optimizer, and XtremePush), and the data, BI, and experimentation platform that both organizations depend on. The role reports to the SVP of Engineering and will set technical direction across all three domains, leading distributed senior engineering teams across San Mateo, Hyderabad, Brazil, and remote locations. The VP will deliver business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights.

Requirements

• 15+ years in engineering with a track record built specifically in growth, acquisition, or marketing-technology engineering at consumer scale — including hands-on fluency across the Google and Meta paid-media ecosystems and the data depth to be credible on attribution, experimentation, and channel optimization.
• Demonstrated ownership of customer-acquisition economics against real revenue targets at a large consumer organization — having sat on the business side of martech, not just built the systems, and used modern customer-data and measurement capabilities to make spend and lifecycle decisions pay off.
• Experience leading a martech or CRM/lifecycle platform consolidation, a BI/experimentation modernization, or an equivalent build/transform effort that shipped while the business kept running.
• Proven operator as a manager-of-managers who has built, structured, and run distributed engineering organizations across time zones — with specific examples of senior leaders hired, developed, and retained.
• Fluency translating between marketers, executive stakeholders, and staff engineers — able to defend a technical bet to a Chief Merchandising Officer and a re-platforming trade-off to Finance in the same conversation.
• Demonstrated ability to hold influence across marketing, product, data science, finance, and privacy stakeholders without formal authority, aligning competing agendas around a shared technical direction.
• Experience building or accelerating AI-native engineering practices — agentic workflows, AI-assisted SDLC, model gateways, or evals/observability — applied to growth or marketing-technology domains.
• Bachelor's degree required, ideally in computer science, engineering, or a related technical field.

Nice To Haves

• A master's degree (MS or MBA) that deepens either the technical or the business-and-commercial dimension of the role is a plus.

Responsibilities

• Align marketing, product, data science, finance, and privacy stakeholders around a unified technical direction across acquisition, lifecycle, and data-platform domains, without formal authority over most of them.
• Partner with marketing science to stand up the data and activation foundations for incrementality and MMM/MTA measurement, and translate roadmap trade-offs fluently to Finance, the Chief Merchandising Officer, and executive leadership.
• Establish a clear operating model with senior engineering leaders so lifecycle and data/BI function as one integrated organization, not two separate teams.
• Lead through senior engineering managers across distributed time zones (San Mateo, Hyderabad, Brazil, and remote), operating as a deliberate manager-of-managers who designs org structures and reporting lines intentionally.
• Hire, develop, and retain senior engineering leaders — with a demonstrated track record of growing people into greater scope and keeping them.
• Build and sustain a high-performance engineering culture grounded in evidence-based experimentation, continuous improvement, and psychological safety across a globally distributed team.
• Own the customer-acquisition economics behind Fanatics' largest paid channels — PLA/Shopping and paid social foremost — ensuring the high-throughput systems that power audience targeting, product feeds, and value-based bidding translate directly into fan acquisition at scale.
• Drive the martech and CRM/lifecycle stack toward decisioned, channel-agnostic, closed-loop messaging across email, SMS, and app push that ties every send to measurable fan-engagement and revenue outcomes.
• Accelerate the shift to AI-native acquisition surfaces — including GenAI-era product feeds, agentic keyword and ops automation, and social commerce — so Fanatics reaches fans through the channels and formats emerging in real time.
• Build the semantic and BI layer to be trustworthy enough to answer both human operators and AI agents, pushing self-serve analytics well past dashboards toward conversational, insight-driven experiences for the teams that serve fans every day.
• Move first with evidence in an unsettled AI-driven landscape — stand up small, measured experiments on AI-native marketing approaches, read the results, and scale what works rather than waiting for a proven playbook.
• Push paid-media diversification beyond Google and Meta by using incremental measurement foundations to de-risk and prove out new channels, expanding Fanatics' acquisition surface as the channel-economics landscape shifts.
• Architect the path from a fragmented engagement stack to a unified, channel-agnostic lifecycle platform — consolidating identity, consent, and decisioning layers while the business continues to ship at speed.
• Drive the BI and data platform toward a modern, lower-TCO foundation — retiring or consolidating legacy systems on committed migration milestones while pushing the semantic layer toward AI-enabled self-serve.
• Move marketing efficiency (ROAS/CAC) and lifecycle-driven revenue on named campaigns, not dashboards — with a credible, defensible plan to protect both as AI reshapes acquisition and attribution.
• Ship a meaningful step toward closed-loop, channel-agnostic lifecycle messaging across at least two channels within the first 12 months, driving measurable revenue impact from the consolidated stack.
• Bank a data-platform cost-takeout that survives contact with the roadmap — owning the cost curve of the data and BI platform as a core accountability, not a secondary concern.
• Communicate in writing with a precision that moves decisions, and build executive confidence in a technical direction before the results are fully in — especially in an environment where AI is rewriting the rules of acquisition, attribution, and channel economics simultaneously.
• Apply AI and technology to improve efficiency, quality, and outcomes.
• Use data and digital tools to inform decisions and enhance performance.
• Demonstrate curiosity and adaptability in adopting new technologies and ways of working.
• Contribute to a culture of innovation and continuous improvement.

Benefits

• The salary range represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/

What This Job Offers

• Job Type: Full-time
• Career Level: Executive