| Job Title: | Marketing AI Automation Engineer |
| Employment Type: | Full time |
| Address: | Burnaby, BC |
| Req ID: | 9348 |
| Pay Rate: | $130,000 - 160,000 |
Description
Our Marketing AI Automation Engineer will Make Marketing faster, smarter and more automated - at enterprise scale. We have strong systems(Salesforce, SFMC, Segment, analytics, moving to Snowflake). The bottleneck is execution velocity: Creative testing, reporting and lifecycle personalization are still too manual and too slow. This role is a one-person automation engine for the marketing org. You'll build the workflows, Ships V1's quickly, and turn them into repeatable systems the team can run.
Qualifications
Must-haves
- 3–6 years in marketing ops, growth engineering, lifecycle ops, or technical marketing roles.
- Comfortable with APIs + SQL + automation platforms (you don’t need to be a SWE, but you know enough to avoid breaking production).
- AI-native builder: you’ve shipped real workflows using LLMs (e.g., Copilot / Anthropic) and understand when to automate vs. add human review.
- Strong operator mindset: you design systems that are reliable, observable, and easy for others to run.
Nice-to-haves
- Experience hiring and leveraging a team of international contractors
- GEO: Experience thinking through and improving GEO strategis
- SFMC, Salesforce, Optimizely experience
- Segment + warehouse + BI tooling familiarity (Snowflake/Looker/Tableau/GA4)
- Experience with AI video tools (ElevenLabs / Runway / Synthesia / HeyGen)
- Familiarity with experimentation frameworks and measurement design
- Working knowledge of SEO and Performance Marketing
Responsibilities
What you can expect during the first 90 days!
- Creative testing Engine - Stand up an experimentation system with scoring, and always-on test calendar, and a learnings repository across email, web & paid.
- Automated Business Pulse - Automate weekly exec dashboards + teams updates pulling from CDP/warehouse/analytics. Including “what changed and why” summaries.
- Lifecycle Personalization Upgrades - Add personalization to lifecycle emails using account-level CRM + Third party Data and our existing recommendation engine to lift CTR and conversion.
- SEO Insights via AI - Leverage Cutting Edge models to analyze and improve our SEO strategy.
Automation & scale
- Build automation-first workflows across marketing ops using low-code tools (e.g., n8n/Zapier equivalents) plus data warehouses and AI-assisted coding as needed.
- Create reusable templates, playbooks, QA checklists, and guardrails so what you build scales beyond you.
- Operate like an internal consultant: find bottlenecks, propose the automation, ship it, hand it off.
AI-powered creative velocity
- Generate and iterate creative variants at scale (copy, images, layouts, CTAs, basic video concepts).
- Set up pipelines that move assets from “idea → variants → approval → launch” with minimal manual overhead.
Automated QA (reduce mistakes)
- Build pre-flight QA for campaigns: broken links, tracking/UTMs, rendering checks, compliance/policy checks, and “smoke tests” before sends/launches.
Reporting & alerts
- Automate recurring reporting and dashboards—reduce manual work and improve reliability.
- Push performance alerts and anomaly detection into Microsoft Teams (and keep it actionable, not noisy).
AI video for auctions + results (distributed via LinkedIn)
- Build a workflow to generate short videos for upcoming auctions and auction results using approved tools (e.g., ElevenLabs) and AI avatars.
- Enable distribution through EveryoneSocial (so the sales org can easily repost).
Scrappy execution with smart outsourcing
- Automate what’s worth automating.
- When it isn’t: write the spec, hire contractors, and QA the output—keep your time on high-leverage work.
Employer