Jobs at Salesforce

The Lead Network Engineer will oversee project management, vendor liaison, and automation in network capacity and backbone engineering, ensuring operational excellence and efficient communication across teams.

Lead Salesforce's global paid search strategy across all markets, optimizing SEM with AI tools, coordinating with teams, and reporting insights.

The AI Cloud Architect will drive innovation in agentic AI systems, working on architecture, customer collaboration, and technical communication.

The Staff Software Engineer will design and develop scalable data ingestion systems using streaming and batch technologies, lead technical initiatives, automate datasets lifecycle management, and mentor team members.

As a Principal Insider Threat Analyst, you'll lead and mature the Insider Threat Program by conducting complex investigations, architecting threat hunting operations, and collaborating with cross-functional partners.

The Director of Production Support Engineering will lead a team, manage production environments, ensure reliability, develop strategic roadmaps, and oversee AI integration within Salesforce's infrastructure.

As a Production Support Engineer, you will ensure the reliability and scaling of the Agentforce platform by leading engineering efforts focused on performance tuning, infrastructure automation, and systems design.

Lead the vision and strategy for Global Growth Systems at Salesforce, transitioning marketing to adaptive, AI-driven growth systems, and architecting intelligent engagement across channels.

The role involves leading software engineering with a focus on AI/ML, ensuring quality in code validation, and driving innovation in software solutions at Salesforce.

As a Software Engineer, you'll architect, design, implement, and test scalable products, collaborating with engineers and product managers to enhance the platform's features.

Seeking Senior, Lead, or Principal Engineers for backend roles in building scalable AI-powered supply chain solutions, focusing on data integration and platform architecture.

As a Senior/Lead AI Software Engineer, you will develop intelligent agents for supply chain tasks, drive architectural decisions, lead technical strategies, and collaborate across teams while mentoring engineers.

The Principal Decision Scientist will lead complex data analyses, develop evaluation frameworks for AI systems, design experiments, and influence product strategy through statistical insights in a collaborative environment.

Executive leader accountable for Tableau customer adoption, retention, renewals, and long-term value. Build unified post-sale operating model and renewals center of excellence, lead adoption and AI-driven self-service programs, align cross-functional teams (Sales, Product, Engineering, Marketing), measure product usage and customer health, and drive net retention, churn reduction, and expansion.

Build and scale an enterprise Knowledge Graph platform and semantic pipelines to power AI-driven features. Design graph models, semantic routers, vector/RAG workflows, cloud-native data pipelines, and AI developer tooling. Own feature delivery, ensure code quality, mentor engineers, and collaborate across product, ontology, and engineering teams.

Lead enterprise strategy to equip 12,000 managers for Human+AI work. Build agentic leadership capability, design AI-enabled in-flow learning experiences, drive large-scale behavior change, define success metrics, and partner across Talent, Product, Design, and Technology to embed learning and coaching into managers' daily workflows.

Design, build, and operate enterprise Master Data Management (MDM) systems including entity resolution, golden record lifecycle, hierarchy processing, and integrations. Develop AI-powered developer tools and automation, implement MuleSoft/Airflow/API/CDC pipelines, ensure data quality and observability, troubleshoot production issues, and collaborate across global teams. LMTS adds architecture, technical strategy, and cross-functional engineering leadership.

Lead technical vision and architecture for an enterprise Knowledge Graph platform and AI-powered developer tooling. Define graph models, ontologies, vector search/RAG architectures, integrate diverse data sources, select graph and semantic technologies, and drive productionization, governance, and cross-organizational alignment to support AI and agentic applications.

As a Senior Software Engineer for Salesforce's Enterprise IAM, you will develop and manage IAM solutions, collaborate with teams, and ensure compliance with security standards, while mentoring junior engineers and driving innovation in identity and access management.

Lead enterprise strategy for leadership readiness, succession acceleration, and internal mobility. Build and scale rotational programs, stretch assignments, and AI-enabled talent solutions. Use talent intelligence and succession analytics to identify risks and opportunities, define success metrics, and partner with workforce planning to strengthen bench depth and retention for director-to-executive populations.