Jobs at Faire

Own and improve Kotlin-based payment and backend services for Faire Pay, including verification, credit limits, statements, fee calculations, integrations, and compliance. Collaborate with Product, Design, Risk, and Data Science on retailer experiences, underwriting pipelines, experimentation, and repayment outcomes. Mentor engineers and uphold high standards for system design, testing, accuracy, auditability, and operational excellence.

Build and own advertiser-facing advertising features end to end, including campaign workflows, controls, reporting, and scalable product systems. Partner with Product, Design, Data Science, Analytics, Marketing, and Go-to-Market teams to identify opportunities and deliver solutions. Use AI tools in engineering workflows, instrument products, analyze experiments and advertiser behavior, and guide future investments through data.

Build and own production systems for Faire’s marketing organization, including landing pages, audience synchronization, campaign automation, paid media feeds, data layers, and recommendation tooling. Write production code, operate services end to end, participate in on-call, and integrate AI agents with evaluations, monitoring, and defined failure modes. Partner directly with marketing teams to turn ambiguous needs into scalable self-service capabilities.

Staff Product Engineer responsible for executing complex features across multiple teams and technology stacks, including backend, frontend, and mobile. Collaborates with product, design, marketing, and data partners; optimizes scalable web applications; contributes to product strategy; and mentors engineers on technical and product judgment. The role supports Brand pillar priorities, drives improvements end to end, and promotes maintainable, high-quality software development.

Lead architecture and delivery of AI coding agents, developer tools, CI/CD workflows, remote development environments, and testing sandboxes. Own production reliability, monitoring, SLAs, cost optimization, integrations, and end-to-end developer workflows. Establish engineering standards, shape the technical roadmap, collaborate across teams, evaluate AI coding vendors, and mentor engineers.

Build and maintain reusable frontend components and design-system infrastructure across Faire’s web surfaces. Champion accessibility, performance, testing, and quality standards; collaborate with Product Design and engineering teams; guide frontend architecture; use AI-assisted tooling; lead technical projects; mentor engineers; and participate in design and code reviews.

Build end-to-end features for Faire's Brand pillar, collaborating with product, design, and data. Work across backend, frontend, and mobile stacks to optimize performance and scalability, mentor engineers, and drive product improvements from discovery through implementation while using modern tooling and AI productivity aids.

Lead design and production of next-generation search and personalization systems using LLMs, dense vector retrieval, GNNs, multi-stage ranking, and reinforcement learning. Drive GPU-based deployment (e.g., Triton), ensure <100ms latency, mentor applied scientists and MLEs, and partner cross-functionally to productionize scalable, reliable search and recommendation experiences.

The Senior Growth Platform Engineer will design and build scalable backend systems, APIs, and growth infrastructure to enhance experimentation and targeting capabilities for retailers.

Lead the Compass agent product as the technical and science owner: design and ship agentic/LLM-powered features end-to-end, set evaluation and experiment frameworks, build data-driven models and tooling, and collaborate across backend, data, and frontend to raise agent quality and enable safe action-taking behaviors.

Lead design and build of high-scale, low-latency backend systems for premium ad formats. Define architecture for unified serving and rendering, enable experimentation and optimization, collaborate with Product/Design/Data Science, mentor engineers, and drive availability, scalability, and roadmap for ad formats.

Build and scale growth systems across the stack to drive retailer acquisition, onboarding, and engagement. Own end-to-end projects, implement experimentation and personalization infrastructure, design reliable services and APIs, instrument and analyze metrics with Data Science, and optimize user experiences for performance and conversion.

Design and operate a scalable ML platform for model training, deployment, and governance while optimizing performance and supporting data scientists in productionizing workflows.

Own Faire's ML platform architecture and standards across training, inference, feature management, governance, and MLOps. Architect scalable Databricks/Spark/Delta Lake/MLflow workflows, optimize cost and reliability, integrate LLM workflows, mentor engineers, and lead cross-functional initiatives to increase data science velocity.

Lead definition and execution of a company-wide experimentation and measurement platform. Build and scale centralized experimentation infrastructure (Eppo), integrate with the data ecosystem, establish governance, tooling, lifecycle management, measurement standards, and partner with Product, Data Science, Analytics, and Strategy to drive rigorous experiment-driven decision-making.

Lead the technical vision and evolution of Faire's Growth Platform, focusing on communication systems, targeting capabilities, and developer tooling while mentoring engineers and enhancing developer experience.

As a Staff Backend Engineer, you will architect and develop high-performance search and discovery systems, integrating AI capabilities and optimizing search functionalities while mentoring the engineering team.

Drive backend architecture and APIs for the Brand Platform: define service boundaries, build AI enablement, optimize high-contention data models, deliver Kotlin server features, and improve customer-facing experiences for web and mobile.