Jobs at Ashley Digital

Own email and CRM marketing across two brands, including promotional campaigns, automated flows, segmentation, personalization, template design, and performance reporting. Create and publish SEO-optimized blogs, buying guides, landing pages, and product copy while identifying keyword opportunities and monitoring organic performance. Coordinate activity with paid marketing, support competitor research and reporting, maintain brand positioning, and present to stakeholders.

Lead CTV media buying and programmatic strategy across Ashley’s furniture and mattress brands. Optimize campaigns, budgets, CPMs, audience targeting, and frequency to drive online conversions and in-store sales. Manage publisher, streaming platform, ad exchange, and DSP relationships; negotiate Deal IDs and PMP agreements; oversee attribution, incrementality testing, clean-room analysis, impression deduplication, and offline conversion measurement. Partner with data science and creative teams to improve performance, unify fragmented vendor data, and achieve ROAS targets.

Build and own scalable full-stack commerce capabilities across admin, pricing, promotions, product data, orders, operations, and customer support. Design microservices, REST APIs, event-driven workflows, and database schemas; contribute to a Scala monolith; develop React interfaces; and operate AWS production systems. Partner with Product, Design, DevOps, and global stakeholders to deliver, monitor, and continuously improve features.

Design end-to-end customer-facing e-commerce experiences from exploration through execution, testing, and iteration. Create intuitive, high-converting UX/UI, evolve multi-brand design systems, prototype rapidly, and partner with Product, Engineering, Data, Marketing, and global stakeholders. Use customer insights, experimentation, business judgment, and AI-enabled workflows to improve usability, conversion, and customer experiences at scale.

Own long-term workforce planning and capacity strategy across Customer Success channels. Develop forecasts, staffing models, scenario analyses, dashboards, and labor investment recommendations. Analyze staffing, productivity, occupancy, shrinkage, service levels, and automation impacts. Partner with Customer Success, AI, Data, Finance, Talent Acquisition, BPO providers, and senior leadership to guide hiring, budgeting, headcount planning, and operational improvements through data-driven insights.

Build and lead Ashley’s consumer insights capability, including research roadmaps, custom qualitative and quantitative studies, insights repositories, prioritization processes, and executive-ready storytelling. Translate consumer, retail, marketplace, feedback, and business data into actionable recommendations for product, marketing, merchandising, pricing, and growth decisions. Influence cross-functional stakeholders, develop AI-enabled synthesis workflows, and manage one direct report while operating resourcefully with imperfect data.

Own and drive the end-to-end commercial performance of two DTC growth brands, including merchandising, pricing, bundles, assortment, and promotional cadence. Build and run an experimentation roadmap to improve conversion, AOV, attach rate, and margin. Coordinate cross-functionally with supply chain, growth & marketing, product, and CRM to deliver launches, campaigns, and brand expression. Be measured on measurable business outcomes and scale winning tests and initiatives.

Lead end-to-end performance of customer-facing conversational AI and knowledge base. Design, test, and optimize AI conversations, define intents and success metrics, analyze KPIs, maintain enterprise knowledge, run continuous improvement using analytics and experimentation, and partner cross-functionally to improve CX and business outcomes.

Own and execute the executive reporting cadence (MBRs/QBRs), synthesize financial and operational inputs into concise, decision-ready presentations, drive follow-through on actions, partner with senior leaders, and continuously improve business reporting and communication processes.

Design, build, and maintain end-to-end data pipelines and models. Integrate multiple data sources, improve data quality and reliability, automate workflows, and partner with Product, Finance, Operations, and R&D to deliver trusted datasets and analytics-ready data assets.