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Support pricing and profitability strategy through analysis of pricing, sales, gross profit, customer behavior, and market data. Monitor competitor pricing, evaluate product/category performance, build dashboards and reports, segment product opportunities, and partner across teams to translate insights into pricing recommendations and initiatives.

Provide technical leadership for foundational platform services: architect, build, and operate distributed cloud-native systems; drive cross-team architecture and standards; mentor engineers; lead incident responses; introduce AI-assisted engineering practices to improve productivity, reliability, and developer experience.

Lead development of customer-focused messaging and content strategies across segments. Create strategic creative briefs, maintain a segment-driven content calendar, partner with creative and campaign teams, and use analytics to evaluate content performance and optimize messaging throughout the customer journey.

Own strategy and roadmap for customer service products across the Order-to-Cash lifecycle. Design self-service and agent tools (modifications, refunds, returns), set KPIs, run experiments/A-B tests, partner with engineering, design, supply chain and stakeholders, and drive adoption, training, and continuous optimization to improve customer and agent experiences.

Provides phone-based customer support by answering inquiries, resolving complaints, processing orders, tracking shipments, handling returns, and updating account information. Documents customer interactions, troubleshoots issues, escalates complex matters, and maintains accurate communication with customers and internal teams. The role is onsite in Janesville, Wisconsin during eight weeks of training, with potential transition to remote work.

Build and enhance cloud-based promotional experiences across the full stack. Implement high-performance Vue.js front ends and TypeScript/Node.js backends, design scalable microservices, integrate AI-driven workflows, improve observability and CI/CD, participate in team processes, resolve high-priority issues, and maintain technical documentation and quality standards.

Backend-focused Software Engineer on the Search team building scalable, secure cloud-based ETL pipelines and APIs. Work includes GCP-based data processing, infrastructure-as-code deployments, testing, CI, AI-driven workflows, code/design reviews, A/B experiments, incident ownership, and cross-functional collaboration to improve search functionality and platform reliability.

Design, build, deploy, and operate production APIs, backend services, libraries, operational data stores, and data-processing systems. Participate in design reviews, own on-call responsibilities, ensure reliability for retries, idempotency, and schema changes, and use AI-assisted engineering throughout the software lifecycle.

Manage medium-sized or mature, high-impact product categories to drive sales, profitability, assortment, and supplier performance. Develop category strategies, analyze performance data, source and negotiate with suppliers, and coordinate cross-functional execution with merchandising, marketing, pricing, operations, and product teams.

Design, build, and maintain scalable self-service data and ML platform tools and workflows. Mentor junior engineers, collaborate with cross-functional teams, implement monitoring/alerts, drive infrastructure improvements, integrate new technologies, and produce technical documentation to support reliable, scalable data products and pipelines.