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About the Role

Gigi is seeking an AI Ads Product Builder/FDE to join their engineering team in Toronto. This role combines advertising domain knowledge, software development, and client service to build and deploy AI-powered products, workflows, and integrations. As a forward-deployed engineer, you will work directly with agency leaders and ads managers, owning the path from customer conversation to a usable solution.

Responsibilities

Work directly with agency leaders and ads managers to understand business priorities, campaign workflows, reporting needs, and operational challenges.
Use advertising knowledge to ask useful questions, explain possibilities and tradeoffs in plain language, and turn ambiguous needs into clear problems and practical solutions.
Ship end-to-end features, owning them from the data layer through agent logic to the interface.
Build integrations with advertising tools, APIs, and data sources customers rely on, handling permissions, data mapping, failures, and operational details.
Work with Product and Engineering to determine what should become a shared feature, reusable integration, or agency-specific configuration.
Build reliable agentic systems, including tools, retrieval, memory, evaluations, guardrails, and human approval flows.
Deliver a strong client experience by owning discovery, prototyping, implementation, and rollout in collaboration with customers and the team.
Set clear expectations, communicate progress and setbacks, help clients adopt built solutions, and follow through when issues arise.
Use feedback and actual workflow results to improve solutions.
Work with clients in person, traveling to client locations as needed for discovery, working sessions, onboarding, and rollout support.
Build relationships with both agency leaders and the people using Gigi every day.

Requirements

Experience in ad tech and advertising, with practical knowledge of media planning, campaign management, optimization, measurement, and reporting.
Understanding of how agencies and ads managers work and the ability to connect technical decisions to their business impact.
Client service experience and a strong interest in helping customers succeed.
Ability to build relationships, understand client priorities, respond constructively to feedback, and take responsibility for follow-through.
Strong communication skills with nontechnical stakeholders, including agency leaders and ads managers.
Ability to lead useful discovery conversations, explain technical tradeoffs without jargon, and set realistic expectations about scope and delivery.
A track record of building and shipping production software used by real customers.
Strong full stack software engineering experience, including system design, APIs, data models, interfaces, testing, debugging, and operating production software.
Comfort across the stack, with real depth in at least one area and no aversion to weaker areas.
Experience using, or a strong desire to become highly effective with, AI coding tools such as Codex, Claude Code, Cursor, or similar tools.
Ability to review AI-generated code, reject weak abstractions, catch missing edge cases, and remain accountable for what ships.
Curiosity about how LLMs change software products and the way software gets built.
Ability to develop good judgment around where AI belongs and where conventional software is better.
Ability to turn open-ended customer requests into practical scope, set expectations, ship, and iterate quickly.
Comfort using AI coding agents to move quickly while maintaining a high bar for architecture, correctness, and maintainability.
Flexibility and willingness to travel to client locations as needed for collaboration, implementation, and relationship building.
Willingness to work hard, embrace intensity, ambiguity, and high standards.
Willingness to balance time spent building with client conversations, visits, and implementation support.
Responsiveness while being clear about priorities and commitments.

Skills

Python
FastAPI
LangGraph
LangChain
TypeScript
Vue
Nuxt
Java
Spring Boot
PostgreSQL
pgvector
Redis
NATS
AWS
AI coding tools (Codex, Claude Code, Cursor)
System design
APIs
Data models
Interfaces
Testing
Debugging
Operating production software
Media planning
Campaign management
Optimization
Measurement
Reporting
Client service
Communication with nontechnical stakeholders
Building integrations with external APIs
Enterprise tools
Customer data systems
LLMs in production (evals, guardrails, tool use, retrieval, agent orchestration, cost and latency work)
Amazon DSP
Retail media
Programmatic advertising platforms
Real-time data pipelines
Production systems operation

Location

Toronto

Work Type

In-office
Hybrid

Experience Level

Mid-level
Senior

Salary/Compensations

$110k to $200k

Benefits

Meaningful equity
Equity top-ups
Catered lunch every day
Real snacks
Top-of-the-line Apple equipment
Comprehensive health and dental coverage

About the Company

Gigi is the agentic operating system of enterprise media buying, with its first product being the AI media manager for Amazon DSP.
Launched in summer 2025, Gigi has grown to manage hundreds of millions in advertising spend for the largest agencies globally.
The company is backed by venture investors Golden Ventures and Aperiam Ventures.
The founding team has over 15 years of experience in Amazon Ads and e-commerce, including a prior $100M+ exit.