Senior Engineer, Personalization & CRM

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Salary $ On request
Location San Francisco, CA
Work Type On-site
Employment Type Full Time
Posted On May 7, 2026
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Job Description

Ready for a career glow up? As a Senior Engineer, Personalization & CRM, you’ll be designing, building, and operating scalable, customer-facing and backend systems that enable personalized, data-driven experiences across digital and CRM channels. You’ll be part of a team that’s united in beauty, supported by those who are equally passionate about leveraging cutting-edge technology, responsible AI, and customer data to create meaningful, measurable experiences at scale. Design, develop, and maintain scalable, production-grade full-stack applications, building responsive, accessible user interfaces and robust backend services — owning features end-to-end from design and implementation to testing, deployment, and monitoring; acting as technical lead on selected projects, providing architectural direction, technical decision-making, and hands-on guidance throughout the delivery lifecycle. Design and implement agentic systems that can plan, reason, and execute tasks autonomously or semi-autonomously, integrating LLM-powered agents into application workflows such as code generation, test creation, analytics, and personalization logic. Build orchestration logic for multi-agent workflows, including task delegation, memory, feedback loops, and guardrails, embedding AI agents into the SDLC to improve engineering velocity, quality, and operational efficiency. Design and implement CRM-driven journey orchestration for personalized, multi-channel customer experiences, building real-time personalization workflows using behavioral events, customer attributes, and decisioning logic. Integrate CRM and personalization platforms with backend services, APIs, and data platforms, ensuring orchestration and personalization logic is low-latency, scalable, and observable to support high-volume customer interactions. Leverage analytics and feature data to power personalization, segmentation, and decisioning use cases, collaborating with Product and Data teams to translate insights into…

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