Growth Platform, Marketing Engineer

Faire•New York City, NY

5d•Hybrid

About The Position

Faire’s marketing organization relies heavily on systems that are not currently built by marketing. These systems include audience and attribute management, campaign automation, landing page creation, attribution tracking, translation services, paid feed management, and monitoring and alerting. Currently, most of these tasks are handled on a request-by-request basis or depend on a partner engineering team with its own roadmap. The Marketing Engineer will be responsible for building these systems within the marketing department, utilizing Faire’s production stack. This role will empower marketers to operate independently. This is an engineering position embedded within the marketing team. The engineer will write production code across Faire’s codebase, own services end-to-end, participate in on-call rotations, and integrate reliable agents into marketing workflows with appropriate evaluations and monitoring for scalability. Success will be measured by the marketing organization gaining new capabilities. The scope of ownership can encompass various areas, including paid media tooling and feed automation, the landing page framework, lifecycle and campaign systems, the marketing data layer, internal platform tooling, and the consumption layer for Faire’s recommendation and propensity models within marketing surfaces. The role will also involve defining collaboration strategies with broader EPDD partner teams.

Requirements

4+ years of experience shipping and owning production software, preferably in or adjacent to a marketing, growth, or GTM organization.
Experience working with Faire’s production codebase (Kotlin, Java, JUnit, Hibernate, Guice, Jersey, React, Next.js, HTTP, JSON, Protocol Buffers, MySQL, CockroachDB, AWS).
Proficiency in SQL and comfort with data warehousing to instrument metrics and inform decisions.
Depth in at least one marketing platform (e.g., CDP or ESP like Braze, Iterable, Segment, Hightouch; attribution or analytics platform; CMS; or ad platform API).
Daily use of AI coding agents.
Experience integrating LLMs into production systems with evaluations, monitoring, and defined failure modes.
A track record of owning a system end-to-end, including on-call responsibilities, and successfully delivering it to non-technical users.
Ability to put agents into the patterned majority of requests, with an evaluation harness, monitoring, and a defined failure mode.

Nice To Haves

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, including cost analysis.
Familiarity with Braze, Hightouch, Google Ads, Meta.

Responsibilities

Build and own systems within the marketing department using Faire’s production stack.
Write production code across Faire’s codebase.
Own services end-to-end, including design, build, review, deploy, and monitor.
Participate in on-call rotations.
Integrate reliable agents into marketing workflows with evaluations and monitoring for scalability.
Develop marketing-led landing pages, potentially evaluating vendor vs. in-house solutions or building a self-serve, agentic landing page service.
Create self-serve capabilities for audience syncing with paid platforms and marketing-led lifecycle management.
Work on projects such as a learning loop for generative assets in ad campaigns, improving infrastructure for core intelligence feeds, and real-time recommendation management.
Collaborate with lifecycle, paid, brand, and product marketing teams.
Identify patterns in requests and build solutions to address them.
Develop scoped, prioritized plans for ambiguous requests and communicate tradeoffs and progress to non-technical stakeholders.