Director, Software Engineering

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

Job Details

About Salesforce

.

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. 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 Salesforces AI Platform and applications! You will be leading the Quality Engineering team as we build the best in class the AI capabilities at Salesforce. Youll 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.

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:

Cross-Functional Collaboration:

Test Automation Management:

Stakeholder Management:

Strategic Planning and Roadmap Development:

Quality Assurance and Continuous Improvement:

Qualifications:

Salesforce is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com .

Salesforce welcomes all.