• San Francisco, CA

Responsible for supporting platform accounting, month-end close, streamlining processes, preparing journal entries, reconciliations, analysis, implementing scalable solutions, collaborating with business owners, and supporting external audit requirements.

• San Francisco, CA

Lead Business Intelligence function, build/maintain systems, processes, & services for financial performance, collaborate with Accounting, Analytics Engineering & Data Infrastructure, manage complex query production, ETLs, and data analysis.

• US National

Develop and monitor key performance indicator dashboards for the entire Marketplace Ops team. Ensure trustworthy and reliable data access. Provide analytical support on projects related to Marketplace Ops. Identify trends, recommend improvements, and..

• Toronto, Canada

Design and build scalable machine learning systems for a wholesale marketplace. Partner with internal customers to address ML development pain points. Provide technical mentorship to ML engineers and contribute to long-term strategy and team growth.

• Canada

Lead end-to-end research to drive marketing and growth objectives. Manage longitudinal tracking program, integrate alternate data sources, and translate insights into recommendations. Be the voice of the customer and collaborate with cross-functional..

• CA, NY, CO, WA, NJ, or US National

Design and build scalable, reliable machine learning systems. Partner with internal customers to address ML development pain points. Provide technical mentorship to team. 5+ years of experience required.

• California, CA, New York, NY, Colorado, CO, Washington, New Jersey, NJ, city, Faire office, or US National

Design and build highly scalable machine learning systems. Partner with internal customers to address pain points. Provide technical mentorship to ML engineers and interns.

• Canada

Design and build scalable, reliable systems for machine learning deployment. Partner with internal customers to address their ML development pain points. Provide technical mentorship to ML engineers and interns.

• Atlanta, GA

Learn and build an understanding of the sales process, collaborate with the team to build the brand directory, prospect and identify high-value brands, contribute to brand growth, and develop relationships with brand partners and the sales team.

• Brazil

Lead mobile platform team to improve developer velocity, scale processes, and mentor engineers. Build minimum viable products, deploy to production weekly, and drive technical strategy around unified architecture.

• New York City, NY

Build Faire's first Product Growth team, establish the vision and practices of a high performing growth team, guide the development of strategy and execution of product roadmaps, hire and manage a team of PMs.

• New York City, NY

Craft a simple, clear narrative framework for product positioning. Lead cross-functional launches to drive product comprehension and adoption. Develop deep understanding of customer needs to shape product roadmap. Hire, develop, and retain a world-cl..

• US National

Collaborate with cross-functional teams to define, build, and release new products and features. Design user-centric content to increase usability and help customers accomplish their goals. Mentor and guide team members, contributing to the positive ..

• Canada

Engineer and drive processes to enable effective research. Manage research process improvements and explore tools to secure vendors. Develop participant management system and research panel program. Establish protocols and systems for research data...

• Toronto, ON, Canada

Improve retailer experiences on the marketplace by reducing issues such as counterfeits, shipment delays, and poor product quality. Develop data science models, optimize levers, and drive data science vision and strategy.

• Canada

Develop machine learning-powered search ranking models and add personalization to search and discovery. Solve challenging problems related to a two-sided marketplace. Contribute to team strategy and lead model development without supervision.

• US National

Develop machine learning-powered search ranking models and add personalization to search and discovery. Improve purchase flow and enable A/B tests to converge more quickly. Contribute to team strategy and lead model development without supervision.

• Canada

Develop models and experimental methods to understand how well the marketplaces selection is matching customer demand and estimate the incremental value of acquiring specific products and brands.

• US National

Use data to drive growth strategies and maximize ROI of growth channels. Own marketing payback framework, planning and forecasting, lifecycle experimentation, marketing channel analyses, A/B testing, and attribution over time.

• San Francisco, CA

Analyze complex problems, lead cross-functional initiatives, identify opportunities, execute in-depth analyses, and communicate data-driven insights. Develop effective processes, level up the team, and work in a fast-paced, highly collaborative, and ..

• US National

Lead Risk strategy development to increase efficiency, reduce fraud and defaults. Drive analytical and operational projects, develop policies for impactful programs. Manage performance and cross-functional initiatives.

• San Francisco, CA

Develop and execute a strategic vision for the Core Data Infrastructure platform. Optimize processes for operational excellence. Lead a scalable BI and Data Warehousing team. Drive the design and deployment of new data models and pipelines.

• Canada

Using machine learning to optimize search, personalize recommendations, and build ads delivery. Collaborating with experienced data scientists and engineers to develop solutions that support local retail and independent brands.

• New York City, NY

Manage and maintain systems, processes and services to understand financial performance and unlock key business insights. Collaborate with functional groups, manage data synthesis, and provide financial support for reporting. Ideal for a fast-paced...

• Canada

Lay foundations for infrastructure, developer velocity, team processes, design systems, and other elements of product development. Improve developer velocity and drive mobile tech stack. Scale mobile engineering team's processes and systems.