Jobs at Faire

Own product strategy, roadmaps, goals, unit economics, and outcomes for a major marketplace area. Partner cross-functionally with design, engineering, data science, strategy, operations, and go-to-market teams. Define customer-focused solutions, use analytics and AI tools to guide decisions, communicate with executives, and lead complex initiatives across retailer growth, brands, discovery, value, or advertising.

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.

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.

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, and cross-functional enablement. The role partners with Product, Design, Revenue, CX, Lifecycle, Legal, and Marketing, uses data to measure impact, shapes product roadmaps, and applies AI tools to improve marketing effectiveness.

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.

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.

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.

The Strategy & Analytics Senior Lead will drive product decisions through analysis, partnering with cross-functional teams to generate insights and enhance operational processes.

Lead design and production of next-generation search and personalized recommendation systems using LLMs, dense retrieval, transformers, GNNs, and MLOps. Drive model development, GPU-based deployment, and <100ms low-latency ranking while mentoring applied scientists and MLEs and collaborating cross-functionally to productize search experiences.

Lead strategic finance for Faire's financial products by identifying opportunities, conducting deep analyses, building and stress-testing financial models, forecasting and tracking ROI and KPIs, supporting capital markets strategies, and enabling data-driven decision-making for growth initiatives and product launches.

Lead the science and technical direction for Compass, building agentic LLM features end-to-end. Drive data, evaluation, and modeling to improve agent quality, ship production features across backend/data/frontend, define eval/experiment frameworks, and collaborate on architecture and tooling to safely enable assistant actions.

Lead Finance Systems & Data, driving modernization and AI adoption in finance. Manage architecture, oversee data integrity, and develop a high-performing team.

Own strategy and roadmap for Faire Pay financial products (net terms, card, brand financing). Drive adoption, activation, and retention while optimizing unit economics, loss rates, and interchange. Partner cross-functionally (Finance, Risk, Legal, Data Science, Engineering) to build underwriting, risk frameworks, and scalable operational infrastructure. Translate financial and risk tradeoffs for stakeholders and execute roadmaps through detailed PRDs and sprint-level delivery.

The Staff Backend Engineer will architect retail-facing search systems, integrate AI capabilities, solve scaling problems, collaborate cross-functionally, and mentor the team.

Lead cross-functional strategic initiatives using data to drive growth. Break down ambiguous problems, execute deep analyses, define and own key metrics, surface actionable insights, build scalable operations, and partner with Product, Sales, Finance, Operations, and Marketing to turn findings into measurable impact.

Lead design and productionization of next-generation search ranking and recommendation systems using transformers, LLMs, GNNs, and deep learning. Build personalized, real-time retrieval and ranking models, collaborate cross-functionally to run experiments and A/B tests, and mentor engineers on MLOps and model development to improve retailer discovery and search relevance.