Director, AI Cloud Quality Engineering

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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.

Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds using Agentforce platform. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.

We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes.

Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce Agentforce and AI Platform! You will be leading the Quality Engineering team as we build the best in class the AI capabilities at Salesforce. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests.

Summary:

Salesforce is seeking a highly experienced and dynamic Director of Software Engineering with a strong focus on Quality Assurance to lead our QA team within the AI Cloud division. The ideal candidate will possess extensive expertise in cross-functional team collaboration, effective negotiation skills, and a solid background in test automation. This role requires strategic planning capabilities, exceptional people management skills, and the ability to manage expectations with various stakeholders while setting out a clear roadmap for the team. You’ll have the opportunity to enhance our test frameworks, work on test environment stability, and develop automation strategies for both platform and applications, including Copilots, Einstein for Service, and others.
 

Key Responsibilities:

Team Leadership and People Management:

• Lead, mentor, and develop a high-performing QA team within the AI Cloud division.

• Foster a collaborative, inclusive, and innovative team environment.

• Conduct regular performance reviews, provide constructive feedback, and facilitate professional growth for team members.

Cross-Functional Collaboration:

• Partner closely with development, product management, and other departments to ensure the integration of robust QA processes within AI Cloud initiatives.

• Facilitate effective communication and collaboration across teams to identify and resolve quality issues promptly.

Test Automation Management:

• Oversee the development, implementation, and maintenance of test automation frameworks and tools tailored for AI Cloud products.

• Ensure comprehensive test coverage and optimize testing processes for efficiency and effectiveness.

• Stay updated with the latest trends, technologies, and best practices in test automation and AI testing methodologies.

Stakeholder Management:

• Manage expectations and communicate effectively with various stakeholders including senior leadership, product owners, and customers.

• Provide regular updates on QA activities, progress, and challenges, ensuring transparenc