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 Do1. 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.
- 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.
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
- High-consideration, high-value transactional businesses (real estate, automotive, financial services)
- Amplitude or Optimizely experimentation platform experience
- Figma for prototyping templates
- Analytics engineering or data visualization (Looker, Mode, Tableau)
- Segment CDP, mobile push, or in-app messaging experience
The base pay range for this position is $172,000–$238,000 Canadian Dollars annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

