About this role
Writing production code across the codebase and owning services end to end are central to daily operations in this marketing engineering role at Faire. Sitting directly inside the marketing organization rather than behind a ticket queue, the engineer builds internal systems, automates campaigns, integrates AI agents into workflows, and enables marketers to run independently. Success in the position means expanding marketing capabilities that did not exist previously while solving problems related to landing page frameworks, audience syncing, and paid media tooling.
The team focuses on bridging the gap between engineering standards and marketing execution by deploying infrastructure, handling on-call duties, and turning ambiguous requests into structured plans. A resourceful candidate who enjoys bridging technical systems with growth initiatives and communicating tradeoffs to non-technical stakeholders will thrive in this environment.
What you will do
- Write production code across the company codebase and own services end to end, including participation in on-call rotations.
- Integrate AI agents into marketing workflows backed by evaluation harnesses, monitoring, and defined failure modes.
- Build self-serve systems for landing pages and audience attributes to empower partner marketing teams.
- Analyze data from the warehouse to instrument what matters and determine future system builds.
- Translate ambiguous business requests into scoped, prioritized technical plans and communicate progress to non-technical stakeholders.
- Collaborate directly with lifecycle, paid, brand, and product marketing teams to find patterns behind requests and build scalable solutions.
What you need
- Four or more years of experience shipping and owning production software within or adjacent to marketing, growth, or GTM organizations.
- Hands-on technical background with backend and frontend technologies, SQL, and database systems like MySQL and CockroachDB.
- Demonstrated depth in at least one marketing platform, such as a CDP, ESP, attribution tool, CMS, or ad platform API.
- Practical experience using AI coding agents daily and deploying LLMs into production systems with proper evaluations and monitoring.
- Track record of owning a system end to end, managing on-call responsibilities, and delivering solutions for non-technical users to operate independently.
Nice to have
- Marketplace or two-sided e-commerce experience
- Production experience with Kotlin or Java on the backend and JavaScript or TypeScript with React or Next.js on the frontend
- Experience replacing a martech vendor with an in-house build
- Familiarity with Braze, Hightouch, Google Ads, or Meta
Benefits
- Competitive pay
- Equity
- Comprehensive benefits
Skills and tech stack
Questions candidates ask
What is the remote and hybrid work policy?
Hybrid employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing. Additionally, hybrid roles have the flexibility to work remotely up to 4 weeks per year.
What is the salary range for this role?
The pay range for this role in Toronto is $140,000 to $192,500 per year, and the position is also eligible for equity and benefits. Actual base pay is determined based on factors such as transferable skills, work experience, market demands, and primary work location.
What does the tech stack look like?
The engineering stack includes Kotlin, Java, JUnit, Hibernate, Guice, Jersey, React, Next.js, HTTP, JSON, Protocol Buffers, MySQL, and CockroachDB running on AWS.
What is the hiring process like?
Faire uses Artificial Intelligence to screen and select applicants for this position. The role is an existing vacancy within the organization.