Description
Join our dynamic team to build the next generation of AI-powered developer and user experiences across the Salesforce enterprise ecosystem. The Generative UI Services team is pioneering how generative AI fundamentally reshapes the way UI experiences are designed, composed, and delivered at platform scale.
Our mission is to standardize and operationalize generative UI, transforming AI output into reliable, composable UI metadata that can power experiences everywhere Salesforce shows up. We are building an opinionated orchestration framework that brings structure, safety, and consistency to AI-driven UI composition, along with a suite of core generative services that teams can adopt end-to-end or leverage à la carte to accelerate innovation.
This team sits at the heart of Salesforce’s AXL (Agentic Experience Layer) vision: a unified, UI technology-agnostic engine that enables agent-first, intelligent, and portable experiences across Lightning, Slack, and future surfaces. Our work ensures that generative experiences are not just impressive demos, but production-grade platform capabilities—scalable, extensible, and deeply integrated with Salesforce’s unified data and AI foundation.
As a member on this team, you’ll help define the architectural direction and technical strategy for how generative UI is built and consumed across the company. You’ll operate with broad ownership, influencing platform abstractions, service boundaries, and developer experience, while partnering closely with product, UX, and AI platform leaders. This is a rare opportunity to shape a foundational layer of the platform, driving innovation from core services all the way to responsive, intelligent user interfaces that millions of users and developers rely on.
This is a Full Stack Engineering role, 50/50 - 60(BE)/40. You can expect to be hands on coding 80+ -100% in this role.
Responsibilities:
Drive the AXL (Agentic Experience Layer) vision by applying AI/ML and platform engineering expertise to enable scalable, production-grade generative UI capabilities across Salesforce.
Lead the design and delivery of complex, highly ambiguous features, owning architecture, execution, and quality across one or more Scrum teams.
Define and evolve core platform services and orchestration frameworks for AI-driven UI composition, ensuring reliability, performance, and extensibility.
Serve as a technical authority and go-to expert for functional behavior, system performance, and end-to-end experience quality within your product area.
Partner closely with Product, UX, and senior engineering leaders to translate business and user needs into robust technical solutions.
Collaborate across teams, orgs, and geographies to drive alignment, unblock execution, and ensure seamless integration across platform layers.
Champion engineering excellence through design reviews, code reviews, test strategies, and quality metrics (testability, coverage, health).
Own production quality and operational excellence, including troubleshooting critical issues, participating in on-call rotations, and preventing repeat incidents through systemic improvements.
Act as a customer advocate, prioritizing real-world usage, critical user journeys, and high-impact customer investigations.
Mentor and raise the technical bar across the team, contributing to hiring, onboarding, and the development of a strong, inclusive engineering culture.
Full Stack Engineer (LMTS) will have proven experience developing complex, high-performance enterprise applications and is ready to take on technical leadership and mentorship responsibilities.
Qualifications:
Experience: 8+ years of professional experience developing and shipping large-scale enterprise applications.
Full Stack Expertise: Deep expertise across the full stack, including modern JavaScript/TypeScript frameworks (e.g., LWC, React) and designing/implementing scalable distributed services (e.g., Java, Node.js).
System Design: Proven track record designing and maintaining large-scale, fault-tolerant distributed systems and RESTful or streaming APIs.
Generative Systems: Experience or strong interest in Generative AI, Large Language Models (LLMs), or integrating AI capabilities into product user flows (e.g., prompt engineering, vector databases, search/retrieval).
Engineering Excellence: Strong command of software development best practices, including design patterns, observability, performance tuning, and robust testing strategies (unit, integration, end-to-end).
Technical Leadership: Experience mentoring junior engineers, driving code quality standards, and leading complex cross-functional projects.
A related technical degree required.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.