Wonolo (Work Now Locally) is disrupting the $140BN temporary staffing industry. Founded in 2014, Wonolo's mission is to help people find consistent work. Through our two-sided tech marketplace, we connect hundreds of businesses in need of front-line workers with 2 million underemployed workers in local markets across the United States, within minutes. Wonolo has raised over $200M in funding which will continue to help us empower the in‑demand workforce by democratizing access to flexible work, opportunities to learn new skills, a living wage, and comprehensive portable benefits and perks.

We’re hiring a Marketing Engineer to build the AI-native system that brings workers to Wonolo, gets them through their first job, and keeps them coming back. This is a business-to-consumer (B2C) role. Your users are workers, not companies. You’ll be building growth systems for a marketplace, not plumbing for a sales team.

You’ll work alongside the team that leads funnel and lifecycle strategy and turn their priorities into automations, AI-powered flows, and campaigns that run themselves. Market data is your main input for deciding where to focus. When the data doesn’t capture something about a specific customer or market, you’ll partner with our Business Operations team to get it.

We welcome qualified candidates located anywhere in Canada #LI-Remote.

What you’ll do:

Lifecycle and Activation Automation

- Map the worker journey from first touch through churn and build the automations that remove friction
- Build journeys in Iterable or similar tools that pull a segment of workers by data filters and enroll them in a campaign automatically when a metric drops below a threshold,



like fill rate in a region or first-job completion
- Build triggered onboarding, re‑engagement, and win‑back flows, plus the logic that decides who gets what and when
- Use Large Language Models (LLMs) to personalize messaging and lift conversion, not just to write copy faster

Paid and Channel Automation

- Use Looker data to create triggers that turn paid social campaigns on and off automatically through the Meta, TikTok, and similar application programming interfaces (APIs)
- Build integrations that programmatically post job listings based on the open roles on our platform
- Build automations that speed up campaign activation across organic and paid channels, including social, job boards, search, and answer engine optimization

AI‑Native Workflows and Evaluation

- Rebuild manual marketing workflows to be AI-native
- Build AI agent workflows for acquisition, content creation, and competitive intelligence, covering prompts, data sources, structured outputs, and the human checkpoints that need to stay in the loop
- Build evaluation frameworks that measure whether our agents are doing the job well, tied back to marketing key performance indicators (KPIs)

Reporting and Experimentation

- Automate our campaign reporting end to end
- Design tests with a transparent hypothesis, ship them, read the results, and decide what to scale or kill





Day-to-Day Execution

- Monitor market health and activate the right playbook when a customer launches or ramps, fill rate drops, workers churn, or a geographic gap opens up, and flag when conditions call for something new
- Treat every campaign you run by hand as a spec for the next thing you automate

Who you are:

- 2 to 4 years in a technical role where you built and shipped, whether your title was growth, lifecycle, marketing operations, Go‑To‑Market (GTM) engineering, analytics, or automation. What you built matters more than the title
- You write Structured Query Language (SQL) from scratch and are comfortable in Looker or a similar business intelligence tool
- You work with APIs directly, handle authentication and webhooks, and build automations end to end in Zapier, n8n, Make, or code, including error handling and maintenance after launch
- Hands‑on experience with LLM APIs (Anthropic, OpenAI) and agents, including prompt design, structured outputs, and evaluation loops
- Experience building triggered campaigns in Iterable or a similar platform, or comparable automations from scratch
- A structured approach to experimentation. You define what success looks like before you build and measure it after
- You've shipped internal tools that teams actually adopted

Nice‑to‑haves, or you'll learn here:

- How users behave in a B2C funnel and where drop‑off happens
- Experience in a marketplace or gig economy product with a two‑sided user base
- Familiarity with paid acquisition channels and how to automate decisioning across them
- Experience with Clay, Framer, or Lovable

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📌 Marketing Engineer (Montreal)
🏢 ProducePay
📍 Montreal