Jobs

Lead Full Stack Engineer, Generative UI Services
Bellevue, WA; San Francisco, CA
·
On-site
·
Full-time
·
1mo ago
Compensation
$189,100 - $260,100
Benefits & Perks
•Competitive salary and equity
•Health benefits
•Conference budget
•Design tool subscriptions
•Flexible work schedule
•Creative environment
•Healthcare
Required Skills
Principle
Sketch
InVision
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
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.
Unleash Your Potential:
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement:
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
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.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.
The typical base salary range for this position is $189,100 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually.
The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
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About Salesforce

Salesforce
PublicA cloud-based software company that provides customer relationship management software and applications.
10,001+
Employees
San Francisco
Headquarters
$243B
Valuation
Reviews
4.0
16 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Competitive compensation packages
Remote work flexibility
Good benefits (headphone/internet reimbursement)
Cons
Ongoing layoffs and job insecurity
Poor refresher/yearly stock grants
Condescending interview processes
Salary Ranges
45 data points
Mid/L4
Senior/L5
Mid/L4 · Analyst Business Intelligence
1 reports
$156,823
total / year
Base
$120,633
Stock
-
Bonus
-
$156,823
$156,823
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Offer Rate
20%
Experience
Positive 20%
Neutral 20%
Negative 60%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview Panel
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
News & Buzz
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Salesforce Interview Experience
Two technical rounds with friendly interviewers, tested on C, debugging, storage concepts, and algorithm problems
News
·
NaNw ago