AI Ads Product Builder/FDE in Toronto

Gigi is the agentic operating system of enterprise media buying. Our first product is the AI media manager for Amazon DSP. Since launching it in summer 2025, we've grown to manage hundreds of millions in advertising spend on behalf of the largest agencies in the world. We're backed by top venture investors Golden Ventures and Aperiam Ventures. Our founding team has spent 15+ years building in Amazon Ads and ecommerce, including a prior $100M+ exit.

We're hiring an AI Ads Product Builder/FDE to join our engineering team in Toronto. You'll combine advertising domain knowledge, hands-on software development, and client service to build and deploy AI-powered products, workflows, and integrations with Gigi. As a forward deployed engineer, you'll work directly with agency leaders, ads managers, and the teams using what you build.

This is a hands-on software engineering role that starts with understanding the business of advertising. You'll draw on your experience in ad tech and advertising workflows to understand how an agency plans, runs, measures, and reports on campaigns. You'll turn those needs into working software: designing APIs, building interfaces, modelling data, integrating services, testing, and debugging production issues. You'll own the path from a customer conversation to a solution people use in their day-to-day work.

You do not need to be an AI researcher or have years of professional LLM experience. We are looking for a strong software engineer with advertising experience who enjoys helping clients succeed. You'll be comfortable explaining technical choices to nontechnical stakeholders, understanding their business priorities, and following through on delivery. You'll use tools such as Codex, Claude Code, and Cursor as a core part of how you work, while building across agent logic, backend services, data, and the customer-facing product.

As an early employee, you will have a meaningful role in shaping our product, engineering culture, and company.

What you'll do

• Work directly with agency leaders and ads managers.
• Understand their business priorities, campaign workflows, reporting needs, and operational challenges.
• Use your advertising knowledge to ask useful questions, explain possibilities and tradeoffs in plain language, and turn ambiguous needs into a clear problem and a practical solution.
• Ship end to end. You'll own features from the data layer through the agent logic to the interface a media buyer actually touches.
• Build with AI as a core part of your development workflow.
• Connect Gigi to advertising workflows.
• Build solutions that strengthen the product.
• Build reliable agentic systems.
• Deliver a strong client experience.
• Work with clients in person.

What success looks like

• First 30 days: Your code is in production. You've used your advertising experience to understand a customer's workflow, learned how Gigi supports it, and shipped an improvement they can use.
• Six months: You own a meaningful customer workflow or integration from discovery through production. Agency leaders and ads managers trust you to understand their needs, explain technical decisions clearly, and coordinate delivery with the team.
• Twelve months: You've shipped something we could not have built without you, turned recurring agency needs into reusable product capabilities, and thrown out at least one thing you built because the abstraction was wrong.

What you'll bring

• Experience in ad tech and advertising, with practical knowledge of media planning, campaign management, optimization, measurement, and reporting.
• Client service experience and a strong interest in helping customers succeed.
• Strong communication skills with nontechnical stakeholders.
• A track record of building and shipping production software used by real customers.
• Strong full stack software engineering experience.
• Comfort across the stack.
• Experience using, or a strong desire to become highly effective with, AI coding tools.
• Curiosity about how LLMs change software products and the way software gets built.
• Judgment over specification.
• Speed and ownership.
• Flexibility and willingness to travel to client locations as needed.

What you don't need

• You do not need an AI research background or experience training foundation models.
• You do not need prior experience with every agent framework or concept we use.
• You do not need a previous Forward Deployed Engineer title.

Bonus points if

• You've built and deployed software for agencies or advertisers.
• You've built integrations with external APIs, enterprise tools, or customer data systems.
• You've built with LLMs in production.
• You have deep hands-on experience with Amazon DSP, retail media, or programmatic advertising platforms.
• You've built real-time data pipelines at meaningful volume.
• You've operated production systems where correctness, permissions, auditability, or customer trust mattered.

The hard parts

• We work hard. We are trying to build a generational company, and early employees should expect intensity, ambiguity, and high standards.
• Cash compensation is competitive for our stage, but we will not win every late-stage salary comparison.
• We throw out working code when the underlying abstraction is wrong.
• Nobody is siloed.
• You'll balance time spent building with client conversations, visits, and implementation support.

Compensation and equity

• Base salary: $110k to $200k depending on experience level.
• Meaningful equity.

Life at Gigi

• In-office culture.
• Catered lunch every day from Toronto's best spots.
• Real snacks.
• Top-of-the-line Apple equipment.
• Comprehensive health and dental coverage.