Manager Engineering, Retail Applications

Key Responsibilities Own store technology delivery & operations. Lead feature development and on-call for POS, clienteling, store reporting, and payments; run incident/root cause analysis, harden releases, and monitor uptime, authorization success rates, and tender reliability. Launch & scale new stores and relocations. Partner with Retail Ops to stage POS devices, payment terminals, and clienteling iPads for new store openings; ensure configuration, integrations, security, and acceptance tests are complete before doors open. Integrate payments & clienteling. Work with payment and POS partners and clienteling platforms to deliver frictionless checkout and associate workflows, aligning SDKs, APIs, and compliance requirements. Enable omnichannel store experiences. Coordinate with OMS and eCommerce teams to support BOPIS, ship-from-store, and remote selling; track store-level SLAs and inventory & price accuracy that underpin these journeys. Measure & improve. Maintain dashboards for latency, error budgets, device health, and store uptime; prioritize backlogs with data; align release calendars with trade/holiday peaks and change-management controls. Technical Skills Proficiency in one modern programming language such as Java or JavaScript (or equivalent). Experience with distributed systems and microservices powering store and edge scenarios. Hands-on experience managing POS systems and clienteling apps (device provisioning, release management, integrations to ERP/CRM). Strong knowledge of relational databases and messaging/event streaming patterns for storeßàcloud sync. Proficiency with instrumentation, telemetry, and observability for store apps and devices (dashboards, alerts, SLOs). Practical understanding of retail operations & omnichannel (e.g., BOPIS, ship-from-store, remote selling), including dependencies on OMS and inventory accuracy. Familiarity with payments (terminal management, gateway integrations) and modern clienteling platforms. Experience adopting AI-assisted development tools (e.g., GitHub Copilot, Cursor, or equivalent) across the team to accelerate delivery, with a point of view on code quality, security, and review practices when AI-generated code is involved. Familiarity applying AI/ML to store and clienteling scenarios such as associate copilots, personalized recommendations, conversational assistants, or computer-vision use cases — including how to integrate model APIs (LLMs, vector search) into POS or clienteling workflows responsibly. Leadership Skills Clear communication up, down, and across functions; ability to translate store realities into engineering priorities and outcomes. Willingness to roll up your sleeves — jump on incident bridges, review logs/telemetry, or help test & stage devices ahead of store launches. Comfort with ambiguity and leading cross-functional program execution (retail operations, payments, security/compliance, vendor squads). Ability to set clear objectives, and unblock delivery while maintaining quality bars and adherence to retail calendars. Compensation Range 150,000.00 USD - 190,000.00 USD. Equal Employment Opportunity Statement Tory Burch LLC is an Equal Employment Opportunity employer and provides equal opportunities to all employees and applicants without regard to an individual’s age, race, creed, color, religion, national origin, sex (including pregnancy) or sexual orientation, gender expression, military status, marital status, genetic predisposition or carrier status, disability or membership in any other protected class under applicable law. Likewise, we will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. Disability Accommodation Tory Burch is committed to providing reasonable accommodations to applicants and employees with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require assistance or an accommodation with the hiring process, please contact View email address on click.appcast.io. #J-18808-Ljbffr