The Tax Senior Analyst will support tax compliance and reporting, assist with tax audits, conduct research on legislation, and enhance tax technology processes.

The role involves designing ML systems for Search Ads, focusing on improving ad relevance and personalization with large language models and deep learning.

Lead the development of machine learning models for ad bidding at Faire, optimizing performance and influencing marketplace strategy.

The Fraud Analyst will improve fraud strategies, manage investigations, collaborate with teams, and use data analytics to enhance operations.

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.

The Senior Accountant will manage monthly close activities, enhance internal controls, streamline workflows, and support audit requests within the GL team.

Lead and scale Faire's core value programs, manage a high-performing team, drive economic performance, and enhance retailer experiences through strategic product vision and integration.

The Senior Product Marketing Manager at Faire will own the go-to-market strategy for Faire Pay, develop positioning and messaging, and drive product adoption while focusing on high-priority retailer areas.

Provide hands-on IT support for the San Francisco office and global escalations: troubleshoot macOS, SaaS, networking and A/V systems; provision equipment; build automations and lightweight tools (Python, Jira); implement AI tooling; perform root cause analysis; document workflows; and collaborate with IT Engineering. Role includes occasional travel and some on-site presence.

Develop machine learning models for search ranking and personalization at Faire, leveraging data to help local retailers thrive.

Lead cross-team projects to build scalable data models and pipelines, using AI for data pipeline development and ensuring data quality.

Lead architecture, strategy, and hands-on execution for Faire's data platform. Build and scale secure, cost-efficient data ingestion, ETL/ELT, warehousing, orchestration, monitoring, and governance. Mentor engineers, influence cross-team priorities, and drive performance and cost optimization for analytics and data products.

Lead cross-functional strategic initiatives by breaking down ambiguous problems, conducting deep analyses, designing and evaluating experiments, surfacing actionable insights, and partnering with Product, Data Science, Engineering, Design, and Finance to drive key business metrics and roadmap decisions.

Drive Revenue organizational effectiveness by translating business needs into system and process requirements, building quarterly roadmaps, aligning cross-functional teams, optimizing sales systems (Salesforce, Salesloft, Orum, Gong), and measuring program adoption and impact.

Own the full ML lifecycle for ads bidding stack, developing models for auction optimization and collaborating with a team to enhance platform effectiveness.

As a Senior Applied AI/ML Scientist, you will drive the ML algorithm strategy and design for Search Ads, enhancing ad relevance and personalization through deep learning and modern NLP techniques.

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

The Staff Product Manager will lead FinTech & Ops initiatives, focusing on product strategy for payments and financial infrastructure, and driving efficiency while enhancing customer experience through automation.

Lead internal executive communications, craft high-stakes and routine messaging for the C-suite, shape company narrative around performance and strategy, manage cascades and toolkits for managers, and coordinate sensitive announcements, crisis responses, and event storytelling to build employee trust and confidence in leadership.

As the Lead Supply Chain Analyst, you will build and manage inventory forecasting, develop analytics infrastructure, and optimize supply chain processes to minimize out-of-stock rates.