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 recent 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 clear 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

Pay Range:
The expected pay range for this position is $63,000 - 115,000 per year . Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, and years and depth of relevant experience. Additionally, this role is currently eligible to participate in Wonolo’s equity plan as well as a range of health and wellbeing, retirement savings, and other benefits within a holistic total rewards offering.

Benefits and perks:

The opportunity for growth in a mission-driven and well-funded start‑up

Meaningful equity

We pay 100% of the medical/dental/vision insurance premiums for you

Generous parental leave plan

Cell phone reimbursement and company laptop

Retirement plans as well as life and disability insurance

Access to no‑cost on‑demand mental health support, including counselling, mindfulness and meditation, and wellbeing courses

We encourage a healthy work‑life balance and offer flexible schedules, an open vacation policy, and the ability to work from anywhere in the U.S. or Canada (no more commutes!)

Team outings, happy hours, company off‑sites, and more!

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📌 Marketing Engineer (Manitoba)
🏢 ProducePay
📍 Manitoba