Jobs at Faire

The Staff Product Manager will drive pricing strategies and build tools for pricing performance, collaborating with teams to support brand success and growth.

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

Build and maintain revenue operations systems, reporting, forecasting, and compensation processes. Deliver analytical frameworks, pipeline diagnostics, ad hoc deep dives, and AI-driven automation to improve sales performance and decision-making while partnering cross-functionally.

The Fraud Strategy Lead will manage strategic fraud initiatives, partner with teams to enhance fraud tools, and mentor junior members, all while advancing fraud capabilities aligned with company objectives.

The Marketing Analytics Senior Lead will manage the analytics strategy for Lifecycle & CRM marketing, influence investment decisions, lead experimentation, and provide insights to enhance marketing efficiency across a global platform.

Provide executive-level support to five Brand leaders across time zones: manage complex calendars, run team operating rhythms, take meeting notes and track deliverables, plan onsites and events, prepare leaders for meetings, act as liaison with stakeholders, and use tools (G-Suite, Slack, AI) to drive efficiency while maintaining confidentiality and prioritizing shifting demands.

Lead the Discovery Experience team to create intuitive and personalized product discovery solutions for retailers, focusing on search UX and AI integration.

Serve as portfolio-level finance partner for International and Retailer Growth, building forecasting, telemetry, and frameworks to identify high-conviction growth investments. Drive topline growth forecasts, communicate performance to leadership, partner cross-functionally, and surface structural risks and opportunities to guide capital allocation decisions.

Lead Faire's experimentation methodology and operating system, design and review high-stakes experiments, provide causal-inference alternatives when A/B tests aren't possible, troubleshoot anomalous results, and partner with engineering, data science, and product to improve experiment infrastructure and metrics.

Lead and scale the Ads Data team, owning data and ML strategy across retrieval/ranking, bidding/auction systems, and data engineering. Hire and mentor applied scientists and analytics/engineers, set technical roadmap and operating model, partner cross-functionally, contribute hands-on to high-priority ML problems, and represent Ads Data in company strategy.

Own day-to-day operations of Faire's San Francisco office: manage vendors and workplace budget, oversee on-site concierge and mailroom, provide basic IT/AV support, run events and new-hire first-day experiences, maintain operational playbooks, and partner with global workplace and procurement teams.

Lead full-cycle recruiting for senior Data, ML, and Engineering roles, partner with senior leadership on hiring strategy, own sourcing and candidate experience, negotiate offers, maintain Greenhouse data and reporting, and elevate recruiting best practices and DEI efforts.

Lead GTM strategy and operations for Brand Success: set strategy, own key metrics, run cross-functional initiatives, and manage a small strategy & ops team. Drive analytics-backed recommendations, build scalable processes, and partner with Product, Marketing, Data Science, and Finance to execute high-impact growth initiatives.

Lead strategic growth analytics across the retailer lifecycle, identify and prioritize acquisition and retention opportunities, run experiments and in-depth analyses, partner cross-functionally with Marketing, Product, Finance, and Engineering, own growth metrics and forecasting, and improve team processes and capabilities.

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.

Lead the design, build, and operation of a centralized experimentation platform (Eppo) integrated with Faire's data ecosystem. Define strategy and roadmap for experiment lifecycle, measurement, governance, and self-service tooling. Partner with Product, Data Science, Analytics, and Strategy to ensure rigorous experiment design, metric creation, and trustworthy decision-making while guiding adoption across the organization.

Lead Inspire and the Faire mobile app vision and roadmap, owning top-of-funnel discovery (homepage, categories, seasonal hubs). Drive app redesign, collaborate with design/engineering/data science/marketing, run experiments to measure engagement and conversion, and work with senior leadership on long-term strategy.

Lead product development for search algorithms, define strategy and metrics, diagnose failure modes, evaluate technical tradeoffs, and partner with engineering, data science, design, and leadership to improve retailer search experience at scale.

The Data Science Intern will develop machine learning algorithms, analyze data, and communicate insights to support local retailers. Responsibilities include executing projects and tackling complex marketplace issues.

Own and grow the apparel brand book by sourcing and onboarding new wholesale apparel brands. Run high-volume, data-informed sales cycles from outreach through onboarding and early success, act as category expert, mentor SDRs, collaborate with product and marketing, represent Faire at events, and optimize processes to drive category growth.