Top Tech Jobs & Startup Jobs

The Senior Program Manager will manage the global Executive Talent Practices portfolio, overseeing program delivery and execution. Responsibilities include coordinating program management activities, creating materials, ensuring reporting accuracy, and driving improvement initiatives across talent management programs.

The Manager, Corporate Messaging Lead at Salesforce will develop and execute impactful keynote presentations for major events, collaborate with senior leadership and cross-functional teams to craft corporate narratives, and highlight customer successes. The role requires a creative storyteller adept at project management and communication, fostering alignment and accountability across teams while inspiring excellence in messaging and delivery.

As a Database Kernel Development Architect, you will architect, develop, and test features for a relational database management system (RDBMS). Responsibilities include design reviews, code assessments, mentoring engineers, and focusing on delivering practical, high-quality solutions that align with customer use cases and technical feasibility. You will collaborate effectively with cross-functional teams to drive innovation and high standards of delivery.

As a Principal Software Engineer at Salesforce, you will develop high-quality, production-ready code for the CRM platform, mentor junior engineers, and make significant architectural decisions. Your role entails working in a hybrid model through all phases of the software development life cycle, while building scalable components in a microservices environment.

As a Splunk Infrastructure Engineer at Salesforce, you will implement and maintain large Splunk environments, focusing on automation and ensuring high availability. You will participate in designing solutions that simplify operations, as well as script automated tasks. The role requires attention to detail and collaboration with project managers on scheduling and resource estimation.

The Associate Account Partner is responsible for identifying opportunities within the customer base, collaborating with sales teams, and creating value through Salesforce services. They engage with clients using a consultative approach, manage complex customer situations, and ensure a successful relationship, meeting or exceeding sales quotas.

As a Software Engineer in ML Infrastructure, you will design scalable generative AI services for integration across multiple applications. Your responsibilities include automating system efficiencies, collaborating with teams to define requirements, and bringing innovative technologies to production, while participating in on-call rotations for critical issues.