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Job description
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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.
Software Quality Lead Member of Technical Staff (LMTS)
Job Category: Software Engineering
We are infusing AI into every aspect of our software engineering. While AI is accelerating how we build, the depth of intelligence and reliability of our systems is what sets us apart at enterprise scale. We are looking for an enthusiastic Senior Engineer who takes an AI-first approach to help build and evolve our Sales Agent and Forecasting capabilities within the Revenue Action Orchestration (RAO) organization.
This individual will work on cutting-edge AI-powered products that tackle one of the most critical problems for enterprise sales teams — accurate revenue forecasting and intelligent sales automation. You will play a key role in designing, implementing, and maintaining robust, scalable systems that bring AI-driven insights directly into the hands of sales teams worldwide.
As a member of the RAO team, you will collaborate with cross-functional partners across product development, data science, and AI teams to deliver Salesforce's AI-driven Sales Agent and Forecasting solutions to the highest quality standards for enterprise applications. The ideal candidate has a strong engineering foundation, a passion for AI/ML-powered products, and the drive to be a multiplier — helping the team accelerate velocity and accuracy through modern AI tooling and practices. Prior experience on a Data Science, ML Science, or ML Engineering team is a plus.
Key Responsibilities
Drive Innovation & Adoption: Design, build, and maintain scalable, AI-first testing frameworks and automation suites to validate complex RAO workflows and agentic capabilities.
Execute Quality Strategies: Translate high-level quality strategies into actionable automation plans, focusing heavily on validating LLM integrations, prompt accuracy, and deterministic system behaviors.
Hands-on Code Quality & White-Boxing: Dig deep into the application code to understand system architecture, identify quality gaps, perform white-box testing, and actively contribute to fixing code and test flakiness.
Human-in-the-Loop & Model Evaluation: Implement and support evaluation processes for subjective quality dimensions of our AI features, including response relevance, user safety, and contextual accuracy.
Cross-Functional Collaboration: Partner closely with developers, product managers, and engineers within the RAO ecosystem to ensure quality is integrated early and continuously throughout the agile delivery lifecycle.
Required Skills and Qualifications
Strong Java Skills: Strong technical fundamentals of Java, particularly in data structures and algorithms.
AI/LLM Validation Mindset: Hands-on experience evaluating Large Language Models (LLMs) for quality response, including familiarity with GPT-like models and AI evaluation frameworks is a big plus.
Agile Delivery at Pace: Proven track record of delivering automation solutions in a fast-paced CI/CD environment, supporting rapid deployment schedules without compromising quality.
Collaboration & Communication: Excellent communication skills, with the ability to work cross-functionally with product managers, engineers, AI/ML engineers, and data scientists.
Problem-Solving & Analytical Skills: Strong analytical and problem-solving abilities with a focus on identifying quality gaps and driving improvement.
Preferred Qualifications
A software engineer with a strong coding background and understanding of delivering software at pace in Agentic PDLC.
Strong experience with white-box testing and fixing code is a huge plus.
Experience working with public cloud infrastructure (AWS/Azure/GCP) and/or foundational knowledge of the Salesforce platform (Salesforce Certifications are a plus).
Prior experience testing autonomous agents, conversational UIs, or generative AI workflows.
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.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the 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. 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)
employee stock purchasing program
More details about company benefits can be found at the following link: 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 $172,500 - $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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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.