
1001 - 5000 employees
🛒 Retail
🛍️ eCommerce
🤖 Artificial Intelligence
💰 Venture Round on 2019-01
Retail • eCommerce • Artificial Intelligence
CSC Generation is a retail technology platform that enhances revenue growth and unit margin management through automation and AI. The company manages a diverse portfolio of 325,000 products online and receives over 10 million monthly page views across its brands. CSC Generation specializes in retail, ecommerce, and wholesale, with a commitment to expanding by acquiring successful brands. Founded in 2016 by Justin Yoshimura, CSC Generation has acquired several well-known brands including One Kings Lane and Sur La Table, and continues to seek out new brands to join its network. The company offers extensive career opportunities and focuses on creating an inspiring and challenging work environment.
🕒 February 6
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1001 - 5000 employees
🛒 Retail
🛍️ eCommerce
🤖 Artificial Intelligence
💰 Venture Round on 2019-01
Retail • eCommerce • Artificial Intelligence
CSC Generation is a retail technology platform that enhances revenue growth and unit margin management through automation and AI. The company manages a diverse portfolio of 325,000 products online and receives over 10 million monthly page views across its brands. CSC Generation specializes in retail, ecommerce, and wholesale, with a commitment to expanding by acquiring successful brands. Founded in 2016 by Justin Yoshimura, CSC Generation has acquired several well-known brands including One Kings Lane and Sur La Table, and continues to seek out new brands to join its network. The company offers extensive career opportunities and focuses on creating an inspiring and challenging work environment.
• Own the economic framework behind pricing and inventory disposition (contribution margin, holding cost, option value). • Define and evolve the Bleeder / At-Risk / Healthy inventory classification and policies. • Lead structured research and experimentation in ambiguous, low-signal environments. • Partner with data science on time-to-sell, demand, and elasticity models — pushing for interpretability and actionability. • Use LLMs pragmatically to accelerate hypothesis generation, feature ideation, matching, and model evaluation (with guardrails). • Partner with engineering to productionize daily decisioning, guardrails, monitoring, and overrides. • Establish trust through explainable recommendations, governance, and post-mortems. • Apply formal reasoning where useful (constraints, invariants, checkable rationales) to ensure decisions are valid and auditable.
• 8+ years in pricing, inventory, revenue management, marketplace economics, or applied data science in retail/e-commerce. • Proven ability to create clarity and momentum in high-uncertainty problem spaces. • Strong command of unit economics and expected-value thinking. • Experience influencing or owning systems that drive daily financial decisions. • Comfort working across data science, engineering, merchandising, and finance. • **Nice to Have** • Experience with clearance / markdown optimization or liquidation. • Familiarity with hazard models, demand modeling, or experimentation. • Hands-on experience using LLMs in analytics or decision systems. • Background in formal logic, constraint systems, or verification-style thinking.
• Executive Access: Work directly with brand CEOs and senior leadership, solving real business problems and earning mentorship from top operators. • AI-First Skill Building: Get hands-on with the most advanced AI tools in the market. From automation to prompt engineering, you’ll build a modern tech stack that sets you apart in any industry. • Accelerated Career Path: High performers are quickly entrusted with greater responsibility, new challenges, and leadership opportunities across our portfolio of brands. • Competitive benefits: Paid time off policies, 401(k)/RRSP match, medical/dental/vision and a variety of supplemental policies, and employee discounts at our portfolio companies.
Apply Now🕒 February 6
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