Growth Platform, Marketing Engineer

Skills covered in University

About the role

Faire's marketing org runs largely on systems marketing does not currently build: audiences and attributes, campaign automation, landing pages, attribution, translation, paid feeds, monitoring and alerting. This is an engineering role sitting inside marketing: you will write production code across Faire's codebase, own services end to end, take part in on-call, and put agents into marketing workflows with the evals and monitoring that make them trustworthy at scale.

What you'll do

• Own services end to end: design, build, review, deploy, monitor.
• Ship in Faire's production codebase, to Faire's engineering standards, with code review by engineers.
• Sit with lifecycle, paid, brand and product marketing rather than behind a ticket queue. Find the pattern behind the requests, then decide what to build so they stop arriving.
• Put agents into the patterned majority of the queue, with an eval harness, monitoring and a defined failure mode before anything reaches a customer.
• Turn ambiguous asks into a scoped, prioritized plan, and communicate tradeoffs and progress to non-technical stakeholders.
• Own the marketing-led landing pages surface end to end, including the recommendation on where it goes next: vendor vs. in-house, or a self-serve, agentic landing page service.
• Make audience syncing with paid platforms and marketing-led lifecycle a self-service capability for marketers, including how the data contract gets enforced in code.

What we're looking for

• 4+ years shipping and owning production software, in or adjacent to a marketing, growth or GTM organization.
• You'll work in Faire's production codebase. Faire's stack is Kotlin, Java, JUnit, Hibernate, Guice and Jersey, React and Next.js, HTTP, JSON and Protocol Buffers, MySQL and CockroachDB, on AWS.
• SQL and enough comfort in the warehouse to instrument what matters and decide what to build next from the data.
• Depth in at least one marketing platform: a CDP or ESP (Braze, Iterable, Segment, Hightouch), an attribution or analytics platform, a CMS, or an ad platform API.
• Daily use of AI coding agents, plus experience putting LLMs into production systems with evals, monitoring and a defined failure mode.
• A track record of owning a system end to end, including the on-call, and shipping it to non-technical users who then operated it without you.
• Preferred: 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; having replaced a martech vendor with an in-house build; Braze, Hightouch, Google Ads, Meta.

Posted

3 days ago · Sep 18, 2026