Jobs at Faire

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.

Leads analytics strategy for Faire’s Discovery pillar, informing search, recommendations, ads, and marketplace decisions. Builds and manages a high-performing strategy and analytics team, establishes analytical rigor and experimentation standards, owns key metrics and datasets, and develops self-serve data tooling and operating systems. Partners cross-functionally to identify opportunities, improve decision-making, and scale analytics practices across the company.

Partners with the Head of Customer Experience to drive strategic planning, analytics, capacity modeling, workforce management, budgeting, and operational execution. Leads cross-functional support initiatives from scoping through launch, translates financial forecasts into operational targets, manages headcount planning, and builds dashboards to monitor CX performance. Collaborates with Finance, Operations, and vendor teams while presenting recommendations to executive stakeholders.

Develop AI and machine learning systems for retailer acquisition, engagement, paid marketing optimization, bidding, targeting, AEO content generation, and personalized landing experiences. The role includes causal inference, experimentation, marketing capital allocation, behavioral insights, and scalable solutions for two-sided marketplace challenges. It requires cross-functional collaboration, independent ML solution design, and strong programming and communication skills.

Own end-to-end applied machine learning projects for catalog and listing quality. Build multimodal deep learning and LLM systems to analyze product images, titles, descriptions, and attributes; improve imagery, ranking, exploration, and product information; and develop evaluation workflows involving human feedback. Partner cross-functionally to ship models, measure business impact, and improve discovery and conversion across Faire’s two-sided marketplace.

Own the strategy, roadmap, metrics, and product development for Faire’s search ranking algorithms. Partner with data science, ML platform, discovery infrastructure, and search teams to identify opportunities, diagnose ranking issues, prioritize technical investments, and improve retailer discovery outcomes. The role requires strong product judgment, analytical direction, technical fluency, and experience managing complex, cross-functional initiatives.

Build and maintain production-grade ETL/ELT pipelines, financial data models, integrations, monitoring, testing, and automation. Partner with Accounting, Finance, Engineering, and Data Infrastructure to improve reporting accuracy, data reliability, and business insight. Lead data strategy, roadmap planning, workflow automation, and GenAI-enabled productivity initiatives across Finance.

The role involves defining the vision for search and discovery experiences, leading end-to-end design, collaborating cross-functionally, and evolving design systems

Own product marketing for a meaningful product area, including customer research, positioning, messaging, go-to-market strategy, launches, adoption, thematic campaigns, and cross-functional enablement. The role partners with Product, Design, Revenue, CX, Lifecycle, and Legal teams, uses data to measure impact, shapes product roadmaps, and experiments with AI tools to improve marketing effectiveness.

Advise product, engineering, data, and design teams on privacy and broader legal issues; lead data governance covering privacy, security, retention, deletion, and cross-border data flows; monitor global privacy laws; and develop scalable policies, playbooks, standards, training, and processes.

Build and own production marketing systems across landing pages, audience and attribute management, campaign automation, paid media feeds, marketing data, and recommendation surfaces. Write and deploy code, operate services on call, integrate AI agents with evaluations and monitoring, and create self-service tools for marketing teams. Partner with lifecycle, paid, brand, and product marketing to turn ambiguous needs into scalable capabilities.

Lead end-to-end product design for Faire’s wholesale marketplace, from customer discovery and prototyping through polished production delivery. Define product direction, collaborate with engineering, product, data, research, and customer service teams, and connect design vision to business and customer outcomes. Evolve the company’s design system, experiment with modern and AI-integrated workflows, communicate design impact to leadership, and mentor other designers.

Own end-to-end sourcing engagements across SaaS, software, marketing, and professional services. Responsibilities include running RFPs, negotiating new and renewal contracts, driving savings, building category intelligence and cost benchmarks, tracking savings, managing deal memos, supporting vendor evaluation and contract redlines, and coordinating approvals with Legal, Finance, and business stakeholders.

Leads fulfillment strategy and analytics, owning north-star metrics, experimentation strategy, product analytics, brand-growth analytics, and cross-functional strategic initiatives. The role translates complex analyses into leadership recommendations, ensures reliable instrumentation and measurement, coordinates analytical partners, and builds scalable processes and AI-enabled workflows. It requires strong strategic problem-solving, communication, product intuition, experimentation expertise, and advanced analytical experience across product analytics, consulting, or business operations.

Lead high-stakes corporate strategy initiatives from problem framing through implementation. Analyze ambiguous business questions, develop recommendations using data and market research, collaborate cross-functionally, guide executive decisions, and own pilot execution. The role also involves identifying dependencies, improving team processes, mentoring teammates, and applying AI tools to accelerate strategic analysis.

Own the measurement and optimization of long-term value for discovery impressions on Faire’s marketplace. Build the LTV framework, define hypotheses and surrogate metrics, design long-horizon experiments, implement ranking experiments, and improve model accuracy for use across search, reorder, and advertising. The role requires production machine learning, causal inference, experimentation, statistical analysis, and data engineering expertise, along with strong cross-functional communication.

Own end-to-end applied machine learning projects supporting brand acquisition and growth on a two-sided marketplace. Develop targeting, personalization, lifetime-value, recommendation, lead enrichment, causal inference, and marketing optimization models. Partner with product, engineering, marketing, sales, and analytics teams to ship models, measure impact, and improve brand onboarding and marketplace outcomes.

Own the global Enterprise brand growth opportunity across markets, setting strategy, sizing opportunities, shaping pricing and go-to-market plans, and leading cross-functional execution. Analyze performance, define KPIs, build operational processes, develop new supply growth models, and present recommendations to leadership. Partner with Product, Sales, Marketing, Data Science, and Program Management while mentoring peers as a senior individual contributor.

Build Faire’s employer value proposition and cohesive talent brand strategy across digital channels. Develop AEO/GEO initiatives, employee storytelling systems, recruiter enablement materials, AI-powered content tools, and talent brand guidelines. Measure candidate sentiment, conversion, and hiring outcomes while partnering with Recruiting, Marketing, Communications, and People teams.