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
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Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
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Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
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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.
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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
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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.
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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.
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Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.
3. Automation, Tooling & Experimentation
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Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
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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.
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Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.
What You'll Need
Technical Skills
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Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
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Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
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Experienced with CDP platforms (Segment Personas or similar)
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Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
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Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
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Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
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Proficient in SQL for campaign analysis and troubleshooting
Experience
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5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
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Track record building infrastructure — not running campaigns — that measurably increases team velocity
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Proven ability to drive data infrastructure through Engineering and Product without direct authority
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Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact
Mindset
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Infrastructure builder: you design systems that eliminate entire categories of manual work
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AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
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High-agency IC: you architect solutions, prototype independently, and build them yourself
Bonus Points
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High-consideration, high-value transactional businesses (real estate, automotive, financial services)
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Amplitude or Optimizely experimentation platform experience
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Figma for prototyping templates
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Analytics engineering or data visualization (Looker, Mode, Tableau)
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Segment CDP, mobile push, or in-app messaging experience
Compensation
Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees. All compensation parameters are based on experience.