Lead 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.

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.

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