Senior Manager, Growth Marketing Operations

About the Role You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest. You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports. What You'll Do 1. Lifecycle Platform Campaign Infrastructure Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs. Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly. Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds. Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production. 2. Conversion Tracking Attribution Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms. Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it. Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment. 3. Automation, Tooling Experimentation Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs. Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation. Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing. What You'll Need Technical Skills: Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends) Strong HTML/CSS for responsive email templates; comfortable reading JavaScript Experienced with CDP platforms (Segment Personas or similar) Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier) Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis Proficient in SQL for campaign analysis and troubleshooting Experience: 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale Track record building infrastructure — not running campaigns — that measurably increases team velocity Proven ability to drive data infrastructure through Engineering and Product without direct authority Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact Mindset: Infrastructure builder: you design systems that eliminate entire categories of manual work AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving High-agency IC: you architect solutions, prototype independently, and build them yourself Bonus Points High-consideration, high-value transactional businesses (real estate, automotive, financial s ... (truncated, view full listing at source)