Events

• Own the event and sponsorship strategy across brand, category, and cultural tentpoles (e.g., Fall campaign, Cashmere Season, Holidays)
• Lead end-to-end execution of IRL brand experiences, including pop-ups, trunk shows, brand dinners, and product immersions
• Develop and pitch brand-right sponsorship opportunities (e.g., US Open, F1, Frieze, Modernism Week) that align with awareness and audience goals
• Build tiered event frameworks: flagship moments, seasonal activations, and opportunistic brand moments
• Work cross-functionally with Creative, Product, Growth, Merchandising, and PR to ensure cohesive storytelling
• Partner with the Head of Social & Community and Head of Partnerships & Collaborations on event integrations (e.g., celebrity talent, social amplification)
• Negotiate contracts, manage budgets, vendors, run-of-show, and post-mortem analysis
• Own ROI tracking and reporting across events and sponsorships

Associate Director, Events and Sponsorships

Data Scientist

• Lead exploration, design, and implementation of data science solutions to optimize inventory planning and allocations.
• Develop and execute the data science strategy for inventory and logistics planning, aligning with broader business goals.
• Design, develop, and refine predictive models for demand forecasting, inventory optimization, and workforce allocation.
• Leverage advanced machine learning and optimization techniques to solve complex supply chain and planning problems at scale.
• Deploy ML models into production, run experiments, and enable performance monitoring in production.
• Collaborate with product, business, and engineering partners to initiate, develop, and deploy cross-functional solutions.
• Present outcomes and insights to business stakeholders and leadership.
• Identify gaps in existing data, create data product specifications, and collaborate with Engineering teams to implement enhanced data tracking.
• Partner with Analytics and other teams to share insights and best practices, ensuring consistency in data-driven decision-making.
• Drive automation: continuously strive for automated and production-ready solutions to improve efficiency and scalability.
• Candidates based in the SF Bay Area required hybrid work out of Palo Alto office 3 days/week; all other candidates may work fully remote.

Principal Data Scientist, ML – Planning

Brand Designer

• Quince: retail and technology company offering luxury-quality products at lower prices
• Localize and create assets for the Canadian eComm site and app (homepage, landing pages, CLPs)
• Build batch and flow emails in English and French; partner with copywriter; own visual QA (links, images, hierarchy)
• Maintain style guide in Figma and ensure all shipped assets follow it
• Track creative performance (CTR, CVR, engagement) and iterate on design
• Collaborate with Marketing and Merch teams to deliver briefed campaigns; establish efficient review/feedback workflows with U.S. counterparts
• Build creatives for other marketing channels (direct mail, OOH, organic social, catalogue) in English and French
• Manage multiple projects and deadlines in a fast-paced, part-time environment

Artificial Intelligence

• CX AI Workflow Specialist: lead quality assurance initiatives, design and maintain Agent Operating Procedures (AOPs), partner with cross-functional teams to build and refine AI-enabled support workflows. Sits at the intersection of CX, systems thinking, and AI tooling.
• Key Competencies: AI & Systems Fluency; Analytical & Process Design; Clear Communication & Documentation; Ownership & Continuous Improvement
• Key Responsibilities Include: AI Tools Configuration; Quality Assurance (QA) & Testing; Cross-functional Collaboration
• QA & Testing: Define quality standards, calibration procedures, and feedback loops; Implement scalable QA frameworks to evaluate CS AI agent performance; Fine-tune AI responses to reflect brand tone.
• Cross-functional Collaboration: Work with engineering, product, and CX teams to prioritize improvements; Create documentation and training materials for internal teams on using AI agents; Monitor KPIs and improvements
• Qualifications Include: 2–5 years in Customer Support, CX Ops, or a related AI/QA/process design role; Experience with quality frameworks; Strong written communication; Experience with LLM fine-tuning or prompt design; Systems thinker with bias for structure and tooling
• Preferred qualifications: Familiarity with tools like Sidekick in Gladly, Fin In Intercom, Decagon, etc.
• KPIs: AI CSAT 4.6; Accuracy > 95%; Containment rate > 40%