Martech Engineer

WHY JOIN ALO?

Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.

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.