• 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
• 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
• 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
• 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

Benefits

• Save for tomorrow: Select our Pre-tax or Roth 401k plans to save towards retirement
• Healthy healthcare: Medical, dental and vision is 100% covered for employees
• Family planning: We offer specialty programs like Carrot, Cleo & Ginger
• Flexible vacation: Most of our team take at least 20 days off per year to decompress and be their best
• Resource groups: Join the group that works for you
• Income protection: 100% company sponsored: life insurance short term and long term disability
• Other: Flexible spending account, commuter benefit, employee assistance programs, and paid parental leave- Track record building infrastructure — not running campaigns — that measurably increases team velocity
• High-agency IC: you architect solutions, prototype independently, and build them yourself
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• 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
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Experienced with CDP platforms (Segment Personas or similar)
• Proficient in SQL for campaign analysis and troubleshooting
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Figma for prototyping templates
• Segment CDP, mobile push, or in-app messaging experience