Jobs at Faire

Leads strategy and execution for Faire’s European and international business, owning high-impact initiatives, OKR attainment, forecasting, performance monitoring, and operational improvements. Manages and coaches Strategy & Operations team members while partnering with Product, Operations, Revenue, Data Science, and senior leadership. Uses analytics, customer insights, SQL, and opportunity sizing to prioritize go-to-market and product investments and drive retailer lifetime value.

Own the strategy, roadmap, and financial performance of Faire’s incentives programs, including Insider, seasonal sales, and spend challenges. Build unified benefits experiences and targeting capabilities, optimize incentive returns through unit economics and P&L management, and partner with Finance, Legal, Data Science, Design, and Engineering. Lead cross-functional execution, communicate with executives, and deliver customer-focused products for retailers and brands.

Manage a portfolio of approximately 250 brands, building relationships and coaching customers on Faire’s platform, products, programs, and events. Drive adoption, retention, revenue, upselling, and retailer acquisition through tailored strategies. Analyze data and performance metrics, communicate product updates, gather customer feedback, and collaborate cross-functionally to improve brand success and achieve quota-based goals.

Own Faire’s personalization roadmap and strategy, including recommendation and ranking systems across retailer discovery surfaces. Partner with ML engineers, data scientists, and product teams to prioritize technical improvements, align roadmaps, and deliver customer and business impact. Conduct qualitative and quantitative research, guide ambiguous high-stakes decisions, and build leadership credibility. The role will eventually expand into leading the personalization product area, including hiring and onboarding an additional product manager.

Serves as the primary UK HR Business Partner, advising senior leaders on talent management, performance, employee relations, organisational design, workforce strategy, culture, change, and UK HR operations. Leads strategic HR projects, cross-functional initiatives, manager enablement, process improvements, and AI or HR technology innovation. Uses people data to inform decisions, ensures HR governance and compliance, and supports international teams across multiple time zones.

Own the full sales cycle for acquiring and onboarding brands in Faire’s Core/Gift categories. Responsibilities include prospecting, pipeline management, discovery, negotiation, closing, onboarding strategy, customer relationship management, identifying growth opportunities, category expertise, mentoring an SDR, and representing Faire at trade shows and industry events.

Own a focused machine learning project involving packing prediction, packing recommendations, or product understanding. Survey research, prototype and benchmark models, develop production implementations, collaborate with applied scientists and ML engineers on live testing, and present findings. Projects may use multimodal deep learning with images and text, catalog data, and historical fulfillment outcomes.

Leads Faire’s global paid marketing strategy, budget, acquisition, retargeting, measurement, and attribution across search, social, affiliate, display, audio, and video channels. Builds and manages a high-performing paid marketing team, diversifies channel investments, develops incrementality and experimentation infrastructure, and partners with Creative, Product, Engineering, Finance, and external vendors. The role also drives AI-enabled automation, data pipeline improvements, forecasting, and executive communication around performance and growth.

Develop and execute go-to-market strategy for Faire’s advertising business. Lead cross-functional strategic initiatives, conduct analytical deep dives, identify growth opportunities, monitor key business metrics, provide data-driven recommendations to leadership, and improve scalable operational processes. Partner with Product, Sales, Marketing, Systems, and Program Management teams in a high-visibility, data-driven environment.

Leads Faire’s global paid marketing strategy, budget, acquisition, retargeting, measurement, and channel expansion across retailer and brand marketplaces. Builds attribution and experimentation infrastructure, partners with Creative, Product, Engineering, Finance, and Strategy, manages agencies and vendors, and hires and develops a high-performing paid marketing team. The role also drives AI-enabled automation, upper-funnel investment, and efficient growth across paid search, social, affiliates, display, audio, and video/CTV.

Leads the development and scaling of Faire’s procurement function, including sourcing strategy, vendor negotiations, purchasing workflows, procurement policies, systems implementation, spend governance, and internal controls. Partners cross-functionally with Finance, Legal, Systems, and business leaders; manages procurement initiatives; identifies savings opportunities; and hires future sourcing professionals.

Own the technical sales process for enterprise brand integrations, from discovery and feasibility assessment through solution design, deal support, implementation, testing, and go-live. Map customer systems, recommend native, middleware, EDI, or API integration paths, build business cases, resolve complex synchronization issues, and coordinate with account executives, brand teams, partners, Product, and Engineering. Develop repeatable sales engineering playbooks, qualification guides, and reference architectures while supporting quota-linked brand activations across North America and Europe.

Leads the design and implementation of scalable data models, pipelines, and analytics systems. Collaborates with data scientists, product analysts, software engineers, and stakeholders on cross-functional initiatives. Ensures data quality, testing, validation, observability, security, and system reliability while using AI to improve analytical engineering workflows and automate routine tasks.

Own the end-to-end ads data foundation by designing scalable pipelines, data models, infrastructure, and analytics capabilities. Collaborate with Product, Engineering, ML, and Strategy teams to translate requirements into production-grade systems and insights. Improve data quality, performance, and accessibility while embedding AI into analytical engineering workflows. Mentor teammates, define technical roadmaps, and support company-wide data initiatives.

Manage a portfolio of approximately 200–250 Korean-speaking brands, coaching them on Faire’s platform, products, programs, and events. Drive adoption, retention, sales growth, upselling, and revenue outcomes through tailored account strategies. Build trusted customer relationships, communicate product updates, analyze performance data, synthesize customer feedback, and collaborate cross-functionally with support, product, design, and marketing teams.

Own the technical direction and roadmap for Faire’s data infrastructure. Build CDC and streaming ingestion from production databases into Kafka, Iceberg, and S3; manage data quality, contracts, observability, SLAs, and reliability. Operate Airflow and Fivetran, lead platform migrations, establish governance, mentor engineers, and collaborate with data scientists, analysts, and senior engineering teams. The role requires hands-on development, architecture leadership, incident ownership, and cross-team influence.

Own the technical direction, development, reliability, and migration of Faire’s data infrastructure. Build CDC and streaming ingestion pipelines from production databases through Kafka into Iceberg on S3, operate Airflow and Fivetran, and implement data contracts, quality checks, SLAs, and observability. Lead cross-team initiatives, mentor engineers, manage incidents and on-call responsibilities, and partner with data scientists, analysts, and engineering teams to deliver dependable analytical data platforms.

Lead international strategy and operations initiatives by analyzing customer, product, and business data to identify growth opportunities, drive cross-functional projects, inform leadership decisions, support new market launches, and translate insights into action alongside Product, Sales, Finance, Operations, and Marketing.

Develop and productionize personalized search ranking, recommendation, and natural-language discovery systems. Apply deep learning, transformer models, graph neural networks, multimodal signals, LLMs, and behavioral data to improve search relevance. Partner cross-functionally on experimentation, model development, agent evaluation, and MLOps. Provide technical guidance through code reviews and best-practice sharing while advancing scalable machine-learning systems for e-commerce discovery.

Own end-to-end applied machine learning projects that improve marketplace quality and trust. Build pricing-integrity, product-matching, entity-resolution, attribute-extraction, ranking, and violation-detection models using structured and unstructured data. Develop human-in-the-loop review systems, prioritize enforcement actions under operational constraints, evaluate LLMs, and analyze experiments measuring retailer trust and marketplace GMV. Partner cross-functionally with product, engineering, analytics, and marketplace operations to ship models and deliver business impact.