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Job Category
Software Engineering

Job Details

About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

• Define Quality Strategies: Develop and implement robust quality strategies for Salesforce's SaaS products, focusing on AI and LLM integrations.
• Evaluate LLM Performance: Assess and optimize Large Language Models (LLMs) for quality, accuracy, relevance, and safety in various use cases.
• Testing and Automation: Design test plans and automation frameworks for both traditional software components and LLM-based features, ensuring seamless integration and high performance.
• Quality Metrics: Establish and track quality metrics, including accuracy, relevance, engagement, and safety of LLM-generated responses.
• Collaborate on AI Model Improvements: Work closely with data scientists and machine learning engineers to provide feedback on LLM performance and recommend improvements based on quality testing results.
• SaaS Expertise: Apply your knowledge of Salesforce architecture and SaaS platforms to guarantee high availability, scalability, and user satisfaction in AI-powered applications.
• Human Evaluation: Oversee human evaluation processes for subjective quality dimensions, such as response engagement, user safety, and contextual accuracy.
• Drive Innovation & Adoption - Bring structure to the engineering decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps prioritize high-value solutions, driving business impact. Ensures that we are continuously raising our standard of engineering excellence
• Multiplier - Connect the "Art of the Possible" : You provide technical leadership for critical areas that significantly impact customer success. You have depth of expertise in key technologies and you are often consulted on the design and
  delivery of new solutions. You bring new best practices to R&D and actively ensure that they are being used. Continues to deepen and widen their understanding of the application and drives discussion of sometimes complex or controversial issues in open forums such as concept reviews, VAT discussions, and cross team discussions.
• Cross-Platform Collaboration - You will use your understanding of customers' needs across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics & BI, CRM and AI) to develop solutions across Salesforce's
  technology stack. Works in a consultative fashion to improve communication, teamwork and alignment among teams inside and outside of the organization
• Technical Leadership on Proof of Concepts: To enter this role you should be able to influence the direction R&D as a whole through your technical, process, or product knowledge leadership. You are able to drive initiatives across R&D. Youare a role model within R&D.Industry-expert level in understanding of quality concerns and validation techniques.Innovates beyond industry expectations. Able to drive behaviors and initiatives that both focus on quality and throughput.
• Mentor and Organization Builder: You are a cornerstone in the infrastructure of technical expertise represented by the organization's senior engineers. You challenge and engage with them to develop their expertise and leadership contributions. You are a key resource for engineers seeking to advance to the next level

• Experience in Salesforce: Understanding of Salesforce's architecture, platform features, and integration with AI/ML components.
• SaaS Expertise: Extensive experience with SaaS platforms, cloud architecture, and enterprise-level software quality assurance.
• LLM Expertise: Hands-on experience evaluating Large Language Models (LLMs) for quality response, including familiarity with GPT-like models and AI evaluation frameworks.
• Quality Assurance Leadership: Experience leading quality assurance initiatives for complex software systems, including test automation and performance testing.
• AI & Machine Learning Knowledge: Strong understanding of AI/ML principles, particularly in evaluating and optimizing model performance, response consistency, and safety.
• Testing Tools & Frameworks: Familiarity with tools like Selenium, TestNG, JUnit, and other automation frameworks, plus experience with AI/ML testing platforms.
• Collaboration & Communication: Excellent communication skills, with the ability to work cross-functionally with product managers, 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.

• Experience in ethical AI practices and evaluating models for fairness, bias, and user safety.
• Knowledge of tools for model interpretability and explainability (e.g., LIME, SHAP).
• Strong understanding of public cloud infrastructure - AWS/Azure/GCP;
• Certification in Salesforce
• Can Architect, design, implement, test and deliver test frameworks for highly scalable products