Senior Manager Software Engineering
Platform Leadership
You’ll lead a platform spanning real-time pricing engines that optimize Buy Box win rates, automated listing syndication, and inventory availability management across multiple marketplace storefronts.
Drive multi-marketplace expansion on a single platform spine — new channels without re-architecting.
Own delivery metrics, capacity planning, and engineering investment decisions for the pod.
Team Leadership
Lead a team of 6+ engineers, including senior tech leads — design reviews, hiring, performance, growth conversations, and delivery health.
Shape the engineering culture of the pod: high agency, AI-augmented SDLC, fast iteration, strong code quality.
Partner closely with distributed teams, including our Global Capability Center in Chennai, India.
Cross-Functional Partnership & Outcomes
Partner with Product, Merchandising, and Marketplace Operations to translate business goals into platform capability — co-own the outcomes, not just the outputs.
Drive AI-first engineering practices — Claude Code, Copilot, agentic workflows — as a default, not an experiment.
Basic Qualifications
- Bachelor’s degree in Computer Science or a related field, or equivalent work experience.
- 8+ years in software engineering with 3+ years leading engineering teams, including senior individual contributors and tech leads.
- Hands-on background in object-oriented programming languages (Java) and modern open-source frameworks (such as Spring Boot and React), or comparable open-stack technologies.
- Production experience on a major public cloud (Azure, AWS, or GCP), including container orchestration (Kubernetes or equivalent) and event-driven/messaging architectures (Kafka, Service Bus, Pub/Sub, or similar).
- Retail or e-commerce background — genuine understanding of how catalog, pricing, and channel operations work end-to-end.
Preferred Qualifications
- Master’s degree in Software Engineering, Computer Science, or a related field.
- Direct experience integrating with major eMarketplace seller APIs or third-party orchestration tools (such as Rithum/ChannelAdvisor or Mirakl).
- Experience applying ML/AI in production — pricing optimization, demand forecasting, recommendation systems, or LLM/agentic workflows in commerce contexts.
- Experience working with globally distributed teams or Global Capability Centers.
- Demonstrated use of AI coding tools in your own and your team’s day-to-day workflow (Claude Code, Copilot, Cursor, or similar).
What We Offer
- Inclusive culture with associate-led Business Resource Groups.
- 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday).
- Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more.