We acquire overlooked store and catalogue based retailers and transform them into high performance, "digital first” brands through our proven omni-channel technology platform, operating expertise and scale.
Founded by Justin Yoshimura and backed by world class investors.

CSC Generation

Browse and apply for open jobs at CSC Generation.

full-stack-engineer

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.

We acquire overlooked store and catalogue based retailers and transform them into high performance, "digital first” brands through our proven omni-channel technology platform, operating expertise and scale. Founded by Justin Yoshimura and backed by world class investors.

• Serve as technical owner for your area or service within the retail service cloud, setting architecture direction and maintaining quality standards
• Design, build, and ship features — reading and writing code daily alongside the team
• Identify and resolve technical challenges across the stack, from profiling and refactoring to scaling the platform
• Replace legacy code and services with modern, maintainable solutions and optimize the overall stack
• Build frameworks and reusable patterns for upcoming projects across the portfolio
• Plan and communicate product roadmaps, triage sprint tickets, and push back on requests when technical tradeoffs demand it
• Mentor junior engineers through code review, pairing, and hands-on problem solving
• Help build the team by driving developer productivity and contributing to hiring decisions

Lead Software Engineer – Team Lead

Lead Software Engineer owning technical decisions for a retail service cloud. Designs and delivers features while mentoring engineers in a collaborative environment.

artificial-intelligence

• Design and implement AI-native workflows for image, video, copy, resizing, versioning, QA, approvals, and deployment.
• Build the full pipeline from brief to prompt to asset to review to launch — starting with your own hands before scaling through others.
• Establish standards for prompts, references, model selection, asset naming, storage, metadata, and quality control.
• Create reusable templates, playbooks, and automations so brands can scale output without rebuilding the system every time.
• Train internal teams to operate within those systems rather than relying on one-off heroics.
• Produce and direct AI-generated creative that meets brand standards and holds up next to traditionally produced work.
• Push for photoreal, commercially usable output rather than obvious AI-looking artifacts.
• Develop workflows for product imagery, concepting, lifestyle scenes, motion, and derivative asset generation across channels.
• Make deliberate decisions about when to use AI-only workflows, hybrid human-plus-AI workflows, or traditional production based on quality and brand risk.
• Build systems that generate creative variants for testing across paid social, display, email, landing pages, and other growth channels.
• Partner with performance marketing and growth teams to connect creative concepts to test design, campaign structure, naming, routing, and readouts.
• Increase testing throughput without destroying learning quality.
• Develop segmentation-aware creative workflows that tailor concepts, formats, hooks, or offers to different audiences while staying within legal, platform, and brand guardrails.
• Work closely with growth, performance marketing, ecommerce, merchandising, brand, and leadership teams to identify and remove creative bottlenecks slowing growth.
• Translate emerging tools into practical operating leverage instead of trend-chasing.
• Stay hands-on enough to ship the first wins yourself while building infrastructure others can use.
• Act as both function owner and dangerous builder: set the bar, build the system, and prove it in live work.

Director of AI Creative Systems

Architects and builds AI-native creative production systems for omnichannel retail at CSC Generation. Leads end-to-end processes to enhance creative output and operational efficiency.

• Build AI-native workflows for image, video, copy, resizing, QA, approvals, and deployment across portfolio brands.
• Personally create and refine assets across channels, especially where speed and quality both matter.
• Establish prompt structures, model-selection logic, reference workflows, naming conventions, and QA standards that turn scattered experiments into repeatable systems.
• Generate creative variants for testing across Meta, display, email, landing pages, and other growth surfaces.
• Partner with performance marketing and growth teams to connect creative output to testing plans, measurement, and readouts.
• Build segmentation-aware variant workflows that tailor angles, formats, hooks, or offers to different audiences while staying within legal, platform, and brand guardrails.
• Push for photoreal, premium output and know when to use AI-only workflows, hybrid workflows, or traditional approaches.
• Help train internal teams on what good AI creative production actually looks like and how to adopt these systems in practice.

Senior AI Creative Automation Lead

Senior AI Creative Automation Lead in AI-native creative production for omnichannel retail. Building workflows and generating assets across growth channels to enhance customer experience.

• Serve as the primary analytics leader across eCommerce, Marketing, Finance, Retail, Merchandising, Inventory Planning, and Operations.
• Own problem definition for analytics - determining which business questions matter and what decisions insights should inform.
• Move analysis beyond “what happened” to “why it happened,” “how it happened,” and “what we should do next.”
• Proactively mine data to identify risks, opportunities, inefficiencies, and performance drivers.
• Influence senior leaders through clear implications and actionable recommendations.
• Own the integrity, governance, and usability of core commerce, customer, and operational datasets across platforms (eCommerce, POS, CDP, email, data warehouse).
• Validate insights using business context and commercial logic — not just technical correctness.
• Define, document, and continuously evolve company-wide KPI frameworks in partnership with Finance and functional leaders.
• Identify and resolve cross-functional metric misalignment to ensure a single, trusted understanding of performance.
• Establish standards for data quality, documentation, and analytical transparency across the organization.
• Leverage AI as a core component of advanced analytical work, including hypothesis generation, exploratory analysis, pattern detection, insight synthesis, and narrative development.
• Design, operationalize, and scale repeatable AI-assisted workflows that support recurring company-level decisions (growth, margin optimization, inventory productivity, forecast alignment).
• Establish validation frameworks to pressure-test AI-generated outputs against source data, historical performance, customer behavior, and commercial logic.
• Embed AI-enabled insights into planning, forecasting, and executive performance reviews.
• Promote responsible, explainable, and outcome-driven AI usage across analytics workflows.
• Own web and digital analytics strategy using Heap, including funnel performance, customer journey analysis, and conversion optimization.
• Ensure tracking integrity and event schema accuracy, including review of structured data formats (e.g., JSON, data layers) in partnership with Product Engineering.
• Translate behavioral data into commercial implications that influence merchandising, marketing, inventory, and operational decisions.
• Ensure behavioral insights are aligned with downstream systems and financial realities.
• Reconcile demand, margin, inventory, and operational perspectives into cohesive performance narratives.
• Support planning, forecasting, and performance alignment across Finance, Retail, Merchandising, and Operations.
• Challenge assumptions and reframe business narratives using data-backed insight.
• Serve as a connector between commercial strategy and operational execution.
• Establish analytical standards that prioritize clarity, trust, commercial relevance, and decision impact.
• Reduce reactive ad hoc work by building scalable, decision-focused reporting and automation frameworks.
• Design the structure, workflows, and expectations for the analytics function.
• Hire, mentor, and develop junior analytics talent once foundational systems are established.
• Champion a modern, insight-driven analytics culture across the company.

Director of AI Analytics

Director of AI Analytics at Sur La Table driving data and AI decision-making across eCommerce and other functions. Leading analytics integration and establishing standards for data-driven insights.

solutions-engineer

• Build and deploy AI tools and automations across brands, including image processing, feed optimization, content generation, reporting, and process streamlining.
• Connect software systems and APIs to create integrated workflows that scale across multiple brands with minimal reconfiguration.
• Work directly with teams across departments to understand their manual processes and build AI-powered solutions that replicate and improve them.
• Write scripts (Python, JavaScript) and design AI workflows using platforms like Claude, ChatGPT, and workflow automation tools (n8n, Zapier, Make, or similar).
• Cross-connect data across platforms including Google Ads, Meta Ads, Google Analytics, Google Merchant Center, content management systems, and image libraries.
• Scale proven tools to additional brands by adapting validated solutions for cross-brand deployment.
• Train non-technical teams on AI tools and ensure sustained adoption and productivity gains.
• Continuously identify high-impact automation opportunities by networking across the organization and prioritizing by ROI.

AI Solutions Engineer

AI Solutions Engineer at CSC Generation building and scaling AI-powered tools in omnichannel retail. Focus on performance marketing and automating processes across brands.

CSC Generation

About the company

Open jobs

5 jobs found

Lead Software Engineer – Team Lead

CSC Generation

Director of AI Creative Systems

CSC Generation

Senior AI Creative Automation Lead

CSC Generation

Director of AI Analytics

CSC Generation

AI Solutions Engineer

CSC Generation