Open Jobs Senior Engineer, Personalization & CRM

Sephora•San Francisco, CA

1d•Hybrid

About The Position

At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential, and making a difference every day. Together, we belong to something beautiful. 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. The work you do will impact beauty, as you architect and deliver intelligent, AI-augmented personalization solutions that shape how millions of customers connect with Sephora across every touchpoint. 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.

Requirements

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, ReactJS, RDBMS/NoSQL, 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 MarTech 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, MarTech 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.

Responsibilities

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 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.