Lead MarTech Engineer

Overview

Alo is looking for a Lead Martech Engineer to design, build, and scale the technology that powers retention, personalization, and cross-channel customer journeys. This role sits at the intersection of marketing, data, and engineering, owning the technical foundation behind Customer 360, lifecycle orchestration, experimentation, and measurement.

You’ll play a key role in operationalizing customer data through a CDP and reverse ETL tooling into activation platforms such as Braze, enabling scalable, measurable lifecycle and retention programs.

Responsibilities

Martech Platform & Journey Orchestration

• Own the technical integration and data ingestion for retention, lifecycle, and loyalty programs (partnering with Engineering on core loyalty logic).
• Design and implement cross-channel journeys using Braze and related orchestration tools
• Build reusable triggers, templates, and journey patterns that scale across teams and use cases

Customer 360 & Data Enablement

• Partner with Data Engineering to design and operationalize Customer 360
• Use reverse ETL tools to sync customer profiles, traits, and audiences from data platforms into the CDP and Braze
• Ensure consistency of identity resolution, consent flags, and audience logic across systems
• Maintain clear ownership of marketing data definitions and source-of-truth alignment

Eventing, Triggers & Real-Time Activation

• Support event-driven activation and near real-time personalization
• Define lifecycle signals and behavioral triggers that power journeys and messaging
• Ensure data quality, reliability, and observability across event pipelines

Experimentation & Measurement

• Enable A/B testing, holdouts, and incrementality measurement for lifecycle and retention programs
• Implement tagging and campaign metadata standards to support measurement
• Partner with Analytics to measure engagement, retention, conversion, and customer lifetime value
• Structure HTML content and campaign metadata to be 'AI-ready' to facilitate future performance modeling and automated content generation.

Reliability, Privacy & Governance

• Monitor data quality, pipeline health, and campaign delivery performance
• Implement consent enforcement, suppression logic, and governance controls
• Ensure compliance with privacy regulations (CCPA/GDPR), specifically designing automated 'Right to be Forgotten' workflows that propagate deletions across the CDP and downstream vendors.
• Manage High-Volume Transactional IP Pools and lead IP warming strategies (SPF, DKIM, DMARC) to ensure deliverability during platform migrations.

Leadership & Collaboration

• Serve as a technical partner to Lifecycle Marketing, CRM, and Retention teams
• Translate business requirements into scalable martech solutions
• Document architecture, workflows, and best practices
• Mentor junior engineers or marketing technologists as the team grows

Qualifications

• A senior-level Martech Engineer with strong ownership and execution mindset
• Comfortable leading complex initiatives while remaining hands-on
• 7+ years of experience in Martech, Marketing Operations, or Data Engineering
• Strong experience with:
  • CDPs and reverse ETL tools
  • Braze or similar lifecycle orchestration platforms
  • Event-driven data architectures
  • SQL and cloud data warehouses
  • Advanced proficiency in Liquid templating logic (or similar personalization syntax) to handle complex loops, variable assignments, and fallback logic
  • Managing a hybrid stack of activation tools (Email, SMS, Push) with experience resolving user identity and frequency capping conflicts between vendors.
• Proven experience supporting retention marketing, CRM, and lifecycle programs
• Strong understanding of identity resolution, consent management, and customer data modeling
• Familiar with experimentation and marketing measurement frameworks
• Clear communicator who bridges marketing and engineering perspectives
• High-volume Retail/eCommerce experience, specifically managing transactional messaging migrations.
• Exposure to personalization, recommendations, or decisioning systems
• Scripting experience (Python or JavaScript)