Email Marketing Operations Manager

Havenly•Denver, CO

7d•Onsite

About The Position

Havenly Brands is looking for an Email Marketing Operations Manager to own the lifecycle technology foundation across our portfolio of seven home brands: Havenly, Interior Define, Burrow, The Citizenry, The Inside, St. Frank, and The Expert. You'll be the technical lead for our lifecycle stack across email, SMS, push, and onsite acquisition, while growing the AI-enabled automation that runs more of our campaign workflow every quarter.

Requirements

5+ years in marketing operations, CRM operations, or lifecycle technology, mostly hands-on in the platform
Deep Braze expertise: Canvas, segmentation, Liquid, custom events and attributes, and the data model underneath them
Write and maintain code that runs in production (scripts, API integrations, scheduled jobs) and can explain it to people who don't code
Led at least one ESP or CDP migration or net-new platform implementation end to end
Understand identity resolution and event data pipelines, and are comfortable in Snowflake or similar
Write clear technical requirements and acceptance criteria for engineering teams
Managed direct reports (offshore or nearshore teams a plus)
Know email and SMS deliverability and compliance (CAN-SPAM, TCPA, CCPA)
Bring a DTC e-commerce background (preferred), with multi-brand experience a plus
Own their systems: when something breaks, they find out before a stakeholder does
Translate business asks into specs engineers can build without a second meeting
Set their teams up with clear SOPs and QA so they're never the bottleneck on a send
Believe AI is changing this job fast and already use it, and build with it, to move faster and think better
Are energized by multi-brand complexity: seven brands, seven customer relationships, one stack
Are self-starters who thrive in a lean, high-ownership environment
At Havenly, we're building with AI as part of how we work. We're looking for people who are genuinely curious about AI-assisted tools and eager to adopt them; this is about openness, not existing expertise.

Nice To Haves

DTC e-commerce background
Multi-brand experience

Responsibilities

Braze and the broader lifecycle marketing technology stack across all seven brands, spanning email, SMS, push, and onsite acquisition
Lifecycle platform architecture and migration strategy: primary technical owner and project manager for migrations, net-new implementations, and major lifecycle technology initiatives
Identity resolution, event-level data integrity, and cross-brand lifecycle systems, as the primary lifecycle technical lead
Automated journeys for acquisition, retention, and long-term program health, built and maintained in line with marketing goals
Management of two offshore associates
Vendor relationships and technology integrations, managed for maximum ROI
The lifecycle team's operational workflow in Asana: automations for campaign handoffs, assignments, status transitions, and recurring batch-and-blast processes
The existing lifecycle automation codebase, workflows, and scheduled jobs
Day-to-day project management for lifecycle campaign execution across Lifecycle, Creative/Design, and other stakeholders
Scalable, efficient lifecycle operations: design, implement, and optimize the processes and technology that support growth and retention
Engineering-ready requirements and acceptance criteria, translated from business impact, as lifecycle technical PM across Growth, Product, Data, and Engineering
Clean, timely data in partnership with Data, Product, and Engineering to drive the best customer experience and results
Technical test design and setup that produces clean, actionable results
Reporting on campaign performance, uptime, and output that informs strategic decisions
Expansion of AI-enabled automation across the campaign workflow: briefing, campaign construction, QA, reporting, and anomaly detection
Portfolio-wide scaling of automated briefing and campaign-build workflows that aren't yet deployed across all brands and campaign types
Reusable automation patterns that connect lifecycle requirements, brand rules, campaign configuration, platform APIs, data sources, QA, and reporting
A prioritized pipeline of repetitive or error-prone processes to automate next, ranked by effort, risk, scalability, and business impact
Human review and controls around AI-enabled workflows, so automation never compromises campaign accuracy, brand standards, data integrity, or QA