Toronto, ONFull-timeCA$139,293.12 - CA$161,286.77 / year
Who you are
2–5 years of engineering or technical experience, with meaningful hands-on work applying AI/LLMs to real business problems (side projects count — we care about what you've built, not just where)
Proficiency in Python or Typescript and comfort working with APIs (OpenAI, Anthropic, or similar LLM providers)
Build repeatable skills or plugins for popular LLM clients to empower your team
Educate and mentor team members to become more AI-Native
A builder's mentality: you'd rather ship a working prototype than write a spec about one
Ability to work cross-functionally and translate between technical and non-technical stakeholders
Experience with workflow orchestration tools (Agent SDK, n8n, Make, Zapier, or custom Typescript/Python pipelines)
Prior work at a DTC subscription company or growth-stage startup
Familiarity with prompt engineering, RAG architectures, or fine-tuning
Experience building internal tools used by non-technical teams
Familiarity with marketing platforms and data infrastructure — ideally some combination of Braze, Google Ads, Meta Ads Manager, Snowflake, or equivalent
Strong enough understanding of growth marketing to ask the right questions and build tools that practitioners actually want to use
What the job involves
AI is no longer a roadmap item — it's the operating system for how modern growth teams win. We're hiring a AI Native Engineer, Growth Marketing to be the hands-on builder who embeds AI into every corner of how our Growth team works: performance marketing, creative production, CRM, landing pages, growth ops, and beyond
This is a rare hybrid role. You're equal parts engineer and growth practitioner — someone who can write a Python script in the morning, ship a Braze-connected AI workflow by afternoon, and explain the business impact to a non-technical stakeholder by EOD. You don't need to have done this at scale before — you need to be obsessed with building at the frontier of what's possible and have the technical chops to make it real
You'll report directly to the Head of Growth and work across every subteam in the Growth org as their embedded AI engineer
Performance Marketing: Build AI-powered tools to automate bid strategy analysis, budget pacing alerts, creative performance scoring, and anomaly detection across paid channels (SEM, Meta, Affiliate, YouTube, etc.)
Creative Studio: Develop AI workflows for ad copy generation, creative brief automation, image asset variation at scale, and creative performance feedback loops between analytics and the studio team
CRM & Lifecycle: Implement AI-driven personalization and send-time optimization across email, SMS, push, and in-app channels; build agentic workflows that pull Snowflake data, generate segment logic, and trigger Braze campaigns with minimal manual intervention
Landing Pages & Conversion: Automate LP variant generation, headline testing ideation, and personalization logic by audience segment or traffic source
Growth Ops: Build internal AI tools — dashboards, Slack bots, report generators — that reduce repetitive analytical work and accelerate decision-making across the team
Growth Product: Partner with Product and Engineering to identify where AI-powered features (recommendations, dynamic content, smart nudges) can accelerate funnel conversion and retention
Tooling & Infrastructure: Evaluate, implement, and maintain the AI/ML toolstack that powers Growth — from LLM APIs to workflow orchestration tools to data pipelines
What Success Looks Like
A measurable reduction in manual hours across mundane Growth through AI-driven automation
At least 5-10 production-grade AI tools or workflows live and actively used by the team within the first 4 months
CRM campaigns that are more personalized, faster to launch, and higher-performing because of AI assist
Creative output volume increases without a proportional increas