Jobs at Faire - Page 2

• Provide practical legal and risk management advice on a large span of employment challenges, such as recruiting, compensation, performance management, separations, internal investigations, leaves of absence, discrimination, harassment, diversity and inclusion, wage and hour compliance, restrictive covenants, reasonable accommodations, employee benefits, employee classification, and other employment related topics

• Lead Faire’s WFM function primarily for our CX team, supporting other operations teams like Risk or Marketplace Operations as needed
• Manage capacity planning models including owning the short-term and long-term locked forecasting process across multiple Ops teams

• Lead Faire’s WFM function primarily for our CX team, supporting other operations teams like Risk or Marketplace Operations as needed
• Manage capacity planning models including owning the short-term and long-term locked forecasting process across multiple Ops teams

• Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use live carrier information and be both performant and explainable.
• Underwriting: Improve Faire’s Net Terms portfolio by evaluating the creditworthiness of retail...

• Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use live carrier information and be both performant and explainable.
• Underwriting: Improve Faire’s Net Terms portfolio by evaluating the creditworthiness of retail...

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.

• Serve as a resource for our HR Business Partners, recruiting teams, and business leaders to provide guidance on all compensation matters.
• Advise on compensation for new hires, promotions, and transfers.

• Deeply understand our customers, build strategies that anticipate and support their needs, and execute rapidly and with an eye to metrics impact to improve their experience
• Build programs to support customers alongside shipping great technology products

• You’ll be able to work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
• You’ll develop an infrastructure that support state-of-the-art search algorithms, while enhancing search performance and relevance.

• You’ll be able to work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
• You’ll develop an infrastructure that support state-of-the-art search algorithms, while enhancing search performance and relevance.

• You’ll be able to work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
• You’ll develop an infrastructure that support state-of-the-art search algorithms, while enhancing search performance and relevance.

• Break down complex and ambiguous questions with a mix of analytical rigor, customer insight, and input from internal and external experts
• Work closely with the product, analytics, marketing, finance, and ops teams to translate recommendations into execution, sometimes embedding directly to accelerate impact

• Break down complex and ambiguous questions with a mix of analytical rigor, customer insight, and input from internal and external experts
• Work closely with the product, analytics, marketing, finance, and ops teams to translate recommendations into execution, sometimes embedding directly to accelerate impact

• Search: Optimizing search through query understanding, retrieval, ranking, post-ranking and whole-page optimization with state-of-art technologies including embeddings, graph learning, deep learning and large language models (LLMs).
• Personalization: Personalizing recommendation surfaces through embeddings, near-real-time / st...

• Develop and execute a strategic vision for the Core Data Infrastructure platform at the product pillar and enterprise levels.
• Optimize processes for operational excellence in project management and system reliability.

• Design and build highly scalable machine learning systems that the entire company will use. Examples of these include (but are not limited to)

“Machine-Learning-as-a-service”
ML Model Training framework
Feature store, including batch and real-time feature computation, serving, and monitoring
Deep learning infrastructure that powers training and serving of Faire’s language and image models
Model prediction services to manage model deployment, inference and monitoring

• Lead development of Risk strategy and planning, which will increase operational efficiency and reduce exposure to fraud and defaults
• Drive strategic, analytical and operational projects and be responsible for the execution, monitoring & ongoing implementation of scalable operational programs and processes

• Collaboration: Work closely with product managers, designers, engineering managers, and other stakeholders to significantly contribute to the success of Faire's business and engineering platform.
• Product Ownership: Share ownership of our product, contributing to ongoing improvements that enhance the customer experience.