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)

The base salary range for this position is $200,000-$240,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.