Jobs / Sal***
Software Engineering SMTS
Sal*** · San Francisco, CA, United States
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San Francisco, CA, United States148,500-223,900 USD/yearlyOnsite
Remuneration
148,500-223,900 USD/yearly
Location
San Francisco, CA, United States
Visa sponsorship
Sponsors visa
Job summary
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 Sal*** Sal*** is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action.
Benefits
And resources support you to find balance and be your best , and our AI agents aTogether, we’ll bring the power of Agentforce to organizations of all sizes andApply today to not only shape the future — but to redefine what’s possible — forAccommodationsPlease note that Salesforce uses artificial intelligence (AI)Training, assessment of job performance, discipline, termination, and everythingRecruiting, hiring, and promotion decisions at Salesforce are fair and based onThe same goes for compensation,Promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such asSalesforce offers a variety ofMore details about company
Qualifications
- 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.
- Agentforce is the future of AI, and you are the future of Sal***.
- Strong Java
- 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 Sal*** platform (Sal*** Certifications are a plus).
- Prior experience testing autonomous agents, conversational UIs, or generative AI workflows.
- Unleash Your Potential
- When you join Sal***, you’ll be limitless in all areas of your life.
- throughout the recruiting process.
- Humans will always make any candidate selection and hiring decisions.
- Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI
Responsibilities
- Drive Innovation & Adoption: Design, build, and maintain scalable, AI-first testing frameworks and automation suites to validate complex PLG 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 PLG ecosystem to ensure quality is integrated early and continuously throughout the agile delivery lifecycle.
- Required
Skills
CommunicationSalesforce
Degrees
Associate
Industry
AutomotiveEducationEnergyInsurance
Company size
EnterpriseSmb
Contract length
12 months