Search the 43 jobs at Salesforce

The Responsible AI Data Scientist at Salesforce will assess various machine learning techniques to provide insights for production readiness, support model fairness and safety, and collaborate with teams on responsible AI practices and model testing.

The Responsible AI Data Science Engineer will assess machine learning techniques, build datasets, and develop metrics for AI model fairness and safety. This role involves collaborating with research scientists and engineering teams, creating analytical tools using Python and SQL, and participating in discussions to improve responsible AI practices.

The Associate Data Scientist will partner with various stakeholders to develop machine learning models, implement data transformation processes, and contribute to AI-powered features. Responsibilities include engaging with business requirements, supporting ML lifecycle management, and promoting best practices in data science.

The Product Line Manager Analyst will analyze data, gather business requirements, write functional specifications, and communicate with engineers to create solutions that enhance user experience with Salesforce software. The role involves using Agile methodologies and collaborating across teams to ensure effective delivery.

The job requires a senior engineer to develop and manage deployment capabilities for Salesforce services on Kubernetes. Responsibilities include designing automated deployment solutions, mentoring team members, and contributing to the Argo Rollouts open source project, focusing on safe and scalable deployments across multiple cloud providers.

The Senior Product Manager will lead the development and management of MuleSoft's Anypoint Monitoring products, focusing on delivering secure, scalable, and user-friendly platforms for enterprise customers. Responsibilities include driving go-to-market strategies, overseeing the product lifecycle, and collaborating with cross-functional teams.

As a Lead Data Scientist, you will design and develop intelligent Generative AI applications for Salesforce's Agentforce. Responsibilities include full-cycle development from design to delivery, focusing on advanced Retrieval Augmented Generation (RAG), Enterprise Knowledge Graphs, and NLP technologies.

Architect, design, implement, test, and deliver highly scalable AI products, define and drive software architecture, communicate and collaborate with cross-functional teams, troubleshoot production issues, and drive long-term design strategies.

Architect, design, implement, test, and deliver highly scalable AI products into the hands of customers. Drive software architecture and enterprise capabilities. Analyze product strategy and technical feasibility. Act as subject matter expert for multiple products and troubleshoot complex production issues.

As a Senior Engineering Manager at Salesforce, you will lead a team in designing and implementing cloud-based infrastructure for the Data Cloud platform. Your responsibilities will include overseeing development projects, enhancing software delivery, optimizing infrastructure, and automating processes using technologies like Istio, Kubernetes, Docker, Terraform, and AWS, while promoting innovation in an agile environment.

As a Principal Software Engineer at Salesforce, you will develop high-quality, production-ready code and build innovative components for scalable applications. Your role involves design decisions based on performance and scalability, contributing to all phases of the software development lifecycle, and mentoring junior engineers.

The Senior/Lead/Principal Backend Engineer will design and develop AI-based solutions using LLMs for automation tools, architect scalable systems, prototype quickly, and collaborate with cross-functional teams to deliver efficient business solutions. They will balance innovation with practicality in problem-solving.

As a Mobile Software Engineer, you will design and deliver features for Salesforce mobile apps, engaging in coding, testing, and providing oversight on development quality. You'll collaborate with cross-functional teams to ensure the delivery of high-quality products and handle troubleshooting of production issues.

As an Automation Software Engineer on the Salesforce Mobile team, you will design cross-team automation strategies, write and review code, and improve product quality through collaboration with various teams. You will build regression test suites, verify bugs, and promote best practices in test automation to ensure software excellence in agile development processes.

As a Software Engineering MTS, you will research, design, and develop software, enhance existing software capabilities, and create scalable applications using Force.com technologies. You will also collaborate with development team members and improve the development lifecycle through code delivery and feedback on technical projects.

The Software Engineering LMTS role involves optimizing and designing scalable and high-performance systems, analyzing algorithms, and improving multi-tenant architecture. The candidate will manage production escalations and collaborate with cross-functional teams on complex projects to ensure system reliability and performance. Strong communication and leadership skills are essential.

As a Network Engineering Staff member, you will deploy, refresh, and decommission network infrastructure across global Data Centers, work with automation teams to enhance scalability and security, and ensure compliance with network standards while managing multiple projects effectively.

As a Software Engineering SMTS, you'll build components for a cloud platform, develop production-ready code, design APIs, and mentor junior engineers. You'll also resolve complex issues and contribute to various phases of the software development lifecycle in a hybrid engineering environment.

The Software Engineer SMTS will build and operate scalable distributed systems to enhance cloud-scale security software services. Responsibilities include architecting and implementing services, protecting products from malicious attacks, and ensuring the privacy and security of data while enabling appropriate access levels.

The Senior Staff Software Engineer will lead the design, architecture, and delivery of innovative features for Slack's productivity tools. Responsibilities include tackling complex product problems, setting strategic development visions, and mentoring engineering leaders, focusing on both frontend and backend engineering.