Jobs at Salesforce

Supports recruiting operations throughout mergers and acquisitions, including pre-boarding, onboarding, offer logistics, background verification, headcount requests, candidate data migration, requisition updates, documentation, reporting, risk tracking, and coordination with Talent Acquisition, Employee Success, and acquired-company teams. Maintains the M&A Recruiting Toolkit and helps ensure accurate, timely execution across transaction workstreams.

Owns critical customer incidents and Sev 1 escalations as incident commander, coordinating Support, Engineering, SRE, Product, Sales, and other teams through resolution. The role manages customer communications, service-level targets, handoffs, retrospectives, operational reporting, and continuous improvement initiatives. Success requires strong technical literacy, executive communication, cross-functional influence, customer focus, and experience managing complex incidents in cloud technology environments.

Leads GTM growth and optimization initiatives across Sales, Customer Success, Professional Services, Finance, Product, and other teams. Responsibilities include analyzing sales performance and market opportunities, developing revenue models and GTM frameworks, supporting market expansion, creating executive presentations, aligning stakeholders, and driving strategic transformation through execution.

Analyzes recruiting competitive intelligence, talent-market trends, competitor hiring, and workforce data. Develops research frameworks, dashboards, automated reporting, and executive-level recommendations to guide hiring strategy. Partners with recruiting, workforce planning, IT, and data engineering teams to address research requests, improve data accuracy, and scale intelligence delivery through technology and AI-enabled solutions.

Leads the strategy and execution of executive talent experiences, including leadership development, succession planning, executive onboarding, coaching, talent reviews, and organizational capability building. Designs personalized, AI-enabled learning interventions that drive behavior change and business impact. Partners with executives, chiefs of staff, HR leaders, and senior stakeholders while ensuring polished execution, measurable outcomes, and strong connections between development, succession, and organizational performance.

Leads customer adoption forecasting and strategic planning across Customer Success. Develops predictive models, adoption projections, scenario analyses, dashboards, KPIs, and executive insights to identify risks, improve product adoption, allocate resources, and connect customer lifecycle trends to retention and growth. Partners cross-functionally with Customer Success, Product, Data Science, Business Operations, Sales, and Revenue teams to establish forecasting standards and drive data-informed decisions.

As an Enterprise Account Executive at Salesforce, you will drive revenue growth by leveraging AI-driven solutions, understanding client needs, and demonstrating how Agentforce can solve business challenges while fostering client relationships.

Sell Tableau Analytics to nonprofit organizations with 31–100 employees. Manage a territory spanning new and existing accounts, generate pipeline, close revenue, achieve quota, and expand customer relationships. Build credibility with C-suite, technical, and business leaders; uncover organizational challenges; connect business needs to Salesforce solutions; and communicate value and return on investment rather than technical functionality.

Leads global ethics and compliance training and communications programs, including Code of Conduct training, risk-based learning, awareness campaigns, localization, and completion tracking. Translates complex legal and compliance concepts into clear content for global audiences, uses AI and data tools to improve learning and processes, manages external ethics assessments, and reports insights to leadership.

Leads competitive intelligence for Salesforce PACE and Agentforce sales teams. Provides competitor insights, deal support, market analysis, sales enablement, and strategic advice to senior sales leadership. Defines competitor programs, identifies business gaps, recommends actions, manages cross-functional execution, and monitors competitor messaging and market trends. Requires strong communication, analytical, relationship-building, presentation, and organizational skills, plus substantial pre-sales, technical, or implementation experience.

Leads Salesforce’s strategic AI partnerships for Agentforce and AgentExchange. Sources, structures, and closes complex product partnerships; launches zero-to-one integrations and interoperability patterns such as MCP and A2A; recruits and scales ISV partners; evangelizes the Agentforce vision; and collaborates with Product, Legal, Marketing, and Operations to define commercial, technical, and go-to-market models.

Build and scale Salesforce’s AI partnership ecosystem for Agentforce and AgentExchange. Responsibilities include sourcing, structuring, and closing product partnerships; recruiting and activating AI and ISV partners; launching new integrations and interoperability patterns; representing the Agentforce vision; collaborating with Product, Legal, Marketing, and Operations; and tracking AI market developments to identify strategic opportunities.

Develop and execute go-to-market strategy for Salesforce Data 360. Create sales plays, enablement programs, demos, messaging, training, and AI-powered seller tools that accelerate adoption, pipeline, and revenue. Translate complex data, AI, pricing, and governance concepts into compelling business value. Partner cross-functionally with Product, Sales, Marketing, Strategy, and Enablement teams while tracking usage and funnel metrics to improve field readiness and customer outcomes.

Build and maintain MeshMesh backend services, APIs, and customer-facing full-stack features. Collaborate with product and design teams, write tested and maintainable code, and participate in code reviews. The role requires production experience across frontend and backend layers, modern web frameworks, backend languages, API design, and AI-assisted development using Claude or similar tools. Networking, real-time systems, early-stage product scaling, DevOps, security, and architecture experience are preferred.

Partners with HR business partners and leaders to deliver employee success programs, talent initiatives, organizational health reviews, and change management. Analyzes workforce trends, employee satisfaction, attrition, and organizational data using HR analytics tools. Leads HR projects, supports digital transformation and automation, coaches leaders and employees, improves service delivery, and collaborates with HR centers of excellence and operations teams.

Drive revenue growth and build client relationships using AI-driven solutions. Understand client needs and showcase how Salesforce's technology can address business challenges.

Own the Success Plans Pricing Calculator as functional product lead. Support sales and Deal Desk, define requirements, translate pricing methodology into tool logic, lead UAT and release coordination, align CRM and CPQ integrations, analyze pricing KPIs, govern approval logic, train commercial teams, and manage the enhancement roadmap.

Drive sales of Informatica master data management solutions in regulated healthcare, life sciences, and financial services accounts. Identify and close complex opportunities, partner with core account executives, advise C-suite leaders, translate business requirements into scalable MDM solutions, and support data governance, compliance, analytics, and operational initiatives. Build executive relationships, present ROI cases, and collaborate with technical, compliance, risk, and data governance teams.

Leads MuleSoft Customer Success Management for enterprise Signature Success Plan customers. Manages 6–12 CSMs, drives product adoption, renewals, expansion, retention, customer health, escalations, and executive relationships. Partners with Sales, Support, Engineering, Product, and Delivery teams to resolve critical issues, allocate resources, improve customer outcomes, and develop team talent. Requires strong enterprise customer success leadership, technical integration knowledge, executive communication, project orchestration, and experience driving expansion revenue and net revenue retention.

Assess and secure emerging AI technologies through architecture reviews, code reviews, penetration testing, threat modeling, and remediation guidance. Partner with engineering and business teams to establish secure development standards, research AI vulnerabilities, and build tools supporting secure AI use at scale. The role focuses on LLMs, agentic systems, RAG architectures, prompt injection, data exfiltration, privilege escalation, and model supply chain risks.