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Senior Engineer, Personalization & CRM
Job in
San Francisco, San Francisco County, California, 94118, USA
Listed on 2026-06-02
Listing for:
Sephora
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
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 actionable, customer-level experiences.
Own L3 production support for CRM and marketing personalization platforms, acting as the final escalation point for complex, high-impact issues. Contribute to architecture decisions across frontend, backend, data, AI, CRM, and personalization layers, ensuring systems are secure, observable, and scalable in cloud-native environments. Champion best practices for performance, reliability, privacy, and responsible AI usage, upholding rigorous standards for governance and accountability in all agent-generated outputs.
Partner closely with Product, CRM Strategy, Marketing, and Analytics teams to deliver measurable personalization and CRM outcomes with speed, reliability, and governance appropriate for customer data. 4-6 years of experience leading, designing, implementing, and owning end-to-end delivery of e-commerce and marketing projects, utilizing technologies including Java microservices, Object-Oriented design principles, data structures, algorithms, DBMS/SQL, Spring Boot, React
JS, RDBMS/No
SQL, and ML components for high-availability systems. 6-8 years of business, technology, and architectural understanding, with the ability to analyze complex business problems and technical situations to design quality solutions, troubleshoot independently, and reduce turnaround time. 3-4 years of experience implementing eCommerce websites and/or Mar Tech operations across desktop, mobile web, mobile applications, emails, and other communication channels, including integrations with on-prem and SaaS technologies.
3-4 years of experience handling large volumes of data, ML integrations, asynchronous and near-real-time processing in massively parallel thread environments.
Demonstrated proficiency in Java Spring Boot Microservices, Kafka integration, Personalization Engines, CMS platforms, Databricks, and LLM/AI techniques and tools. Deep knowledge of site architecture, site functionality, Mar Tech operations, data governance, data engineering, and bulk data transfer and processing. Strong leadership skills with proven experience leading cross-functional projects, managing medium and large digital content and web promotion initiatives, and driving process change implementation.
Excellent communication, problem-solving, and relationship-building skills, with the ability to multi-task, prioritize, and adapt to change in a fast-paced, collaborative environment. #LI-AZ1
Position Requirements
10+ Years
work experience
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