Jobs at Salesforce

Manage full-lifecycle sales process, identify leads, engage with clients through presentations, and maintain relationships to drive revenue growth.

Own strategic enterprise nonprofit accounts, build executive and stakeholder relationships, develop account and mutual close plans, sell Salesforce SaaS solutions, coordinate internal resources, expand existing accounts, drive digital transformation, and achieve sales targets. The role requires full-cycle SaaS closing experience, strong negotiation and communication skills, financial and business acumen, forecasting expertise, and willingness to travel to client locations.

Leads Tableau’s global Solution Engineering organization, defining go-to-market strategy, scaling talent, strengthening executive customer relationships, and positioning Tableau within Salesforce’s AI, data, and CRM ecosystem. Partners across Sales, Product, Engineering, Marketing, Customer Success, and Strategy to drive enterprise transformation, revenue growth, innovation, and customer value. Champions leadership development, inclusion, operational excellence, and Salesforce’s values.

Supports sales of Salesforce Agentforce IT Service by demonstrating ITSM capabilities, articulating solution value, evangelizing AI-powered service workflows, and showing integration across Salesforce products. The role serves as a subject matter expert for incident management, conversational support, CMDB functionality, automation, and unified IT and HR service experiences. It partners with customers and sales teams to identify solutions that drive adoption and revenue.

Support Salesforce GovCloud reliability and high availability in a 24/7 operations environment. Responsibilities include incident response, root cause analysis, infrastructure administration, security and compliance alignment, automation, monitoring, preventative remediation, and workflow improvement. The role requires collaboration across engineering teams, participation in post-incident reviews, and support for AWS/C2S infrastructure and customer-facing services.

Drive strategic planning and data analytics for Customer Success by analyzing complex datasets, developing predictive models, building Tableau dashboards, and enabling self-service reporting. Translate business requirements into scalable data solutions, synthesize insights for executive decisions, and collaborate with engineering, product, analytics, and program management teams. Coach team members on Tableau and analytics best practices while leading cross-functional initiatives and improving analytics quality.

Leads Salesforce’s AI and tooling team for the Help Agent, overseeing generative AI strategy, evaluation frameworks, observability, production health, and AI skill development. Owns roadmap influence, quality and performance metrics, scalable testing, centralized monitoring, and the NNAOV program. Partners with technology and product teams, represents Customer Zero needs, manages cross-functional stakeholders, develops talent, and communicates strategic direction to senior leadership.

Leads product strategy and execution for Salesforce’s AI agent systems platform. Partners directly with enterprise customers and engineering to identify automation opportunities, prioritize the roadmap, define trustworthy user experiences, establish success metrics, and drive products from early validation through production adoption. Coordinates go-to-market activities across marketing, sales, pricing, security, and legal while balancing customer-specific needs with scalable product investments.

Serve as an analytics-focused Solution Engineer for Salesforce’s Consumer Business Services accounts. Partner with customers, sales teams, and internal stakeholders to define business problems, develop technical strategies, demonstrate Salesforce and Tableau solutions, and build data-driven prototypes. Advise on analytics architecture, facilitate stakeholder consensus, and showcase AI-enabled experiences. The role requires Tableau or CRM Analytics expertise, strong communication, technical problem-solving, customer engagement, and occasional travel.

Leads the strategic direction of performance analytics and measurement for global enablement efforts. Owns the analytics roadmap, defines KPIs, develops AI-driven seller-readiness assessments, and partners with data engineering, sales, enablement, and technology teams. Translates complex analysis into executive-level insights, drives cross-functional alignment, and leads strategic measurement initiatives.

The role entails engaging with existing customers and new leads to drive sales of the Salesforce Customer 360 platform while building strong relationships with key stakeholders.

Build automation, workflows, and autonomous agents for ISV partnership operations. Develop Salesforce reports and dashboards, analyze data, identify process improvements, and scale partner onboarding and account-management activities. Collaborate with business development, technical, legal, support, and operations teams while documenting processes and supporting partner-facing communications. The role requires operating effectively amid ambiguity and helping establish a new team function.

As a Pre-Sales Solution Engineer, you'll support sales teams by delivering technical solutions, conducting product demonstrations, managing engagements, and working on customer feedback, specifically focusing on Informatica products.

Manage compensation program execution, quota issuance, governance, data pipelines, attainment calculations, process improvements, and reporting for Customer Success Managers. Partner with Sales, Renewals, Business Intelligence, Strategy & Operations, and Finance teams to maintain accurate compensation workflows and provide data-driven recommendations. The role requires expertise in incentive compensation, data governance, process design, SQL, ETL/ELT workflows, and enterprise CRM or compensation platforms.

Enterprise quota-carrying sales leader responsible for driving adoption and revenue for Agentforce Operations. Build pipeline, manage long strategic AI transformation deals, expand existing Salesforce accounts, and coordinate cross-functional teams to deliver autonomous-agent solutions that improve operational workflows and ROI. Engage C-suite and multi-stakeholder buyers to qualify opportunities, forecast accurately, and ensure successful deployments and customer satisfaction.

Lead end-to-end customer migration engagements as the primary technical advisor, coordinating with account teams and global delivery partners. Drive adoption of AI agents and automation for data mapping and code conversion, troubleshoot major migration incidents, and translate technical architectures into business outcomes. Influence product and tooling by providing field feedback and ensure successful go-live and adoption across Salesforce clouds.

Manages strategic higher education customers using Salesforce Signature Success. Serves as the primary customer accountability point, builds executive relationships, coordinates success services, guides feature adoption, supports renewals and expansion, and advocates during high-severity incidents. The role translates technical concepts into business outcomes, coordinates cross-functional teams, identifies implementation risks, and improves customers’ technical and operational health. Occasional customer-site travel and after-hours or weekend coverage may be required.

Software engineering interns contribute to real Salesforce product, platform, and AI-powered projects under experienced mentorship. Responsibilities include applying computer science fundamentals, object-oriented programming, algorithms, and data structures to practical solutions; experimenting with AI-assisted development tools; collaborating with engineering teams; and learning through technical training, workshops, and professional development opportunities.

The Pre-Sales Data and AI Architect will design and operationalize enterprise data architectures, collaborating with teams to ensure effective integration of Salesforce D360 into complex ecosystems while driving customer success through innovative data solutions.

Provides post-sales architecture, solution design, use-case development, and implementation guidance for Informatica MDM customers. Advises customers and Customer Success teams, develops technical proposals and presentations, partners with Product and Engineering, supports professional-services handoffs, and creates technical content. Requires expert Informatica MDM experience, complex data-management expertise, cloud and on-premises architecture knowledge, database skills, and experience managing enterprise customers.