Jobs at Salesforce

Lead product analytics projects from data modeling and metric design through advanced analysis and implementation. Develop scalable product metrics, AI-powered analytics automations, self-service analytics experiences, and trusted data models. Partner with Product, Engineering, Go-to-Market, and data teams to solve complex business problems, influence senior stakeholders, and deliver executive-ready recommendations.

Develop scalable, high-performance software for Salesforce’s distributed B2C platform. Responsibilities include designing and implementing full-stack features, collaborating with architects and product owners, creating technical designs and test cases, deploying code, and conducting automated unit, integration, functional, acceptance, performance, and smoke testing. The role requires strong Java or comparable language skills, backend and web application expertise, LLM knowledge, software engineering fundamentals, and cross-functional communication.

Own the enterprise vulnerability management strategy and roadmap across infrastructure, cloud, containers, software, and AI/ML environments. Lead vulnerability response incidents, develop AI/ML security governance, automate scanning and remediation workflows, and drive threat-informed prioritization using CVSS, EPSS, and KEV. Partner with engineering, product, and architecture leaders to reduce systemic exposure, while reporting vulnerability trends, AI threats, metrics, and remediation performance to executive security leadership.

Leads Salesforce’s Forward Deployed Engineering team in delivering enterprise Agentic AI solutions. Defines deployment strategy, multi-agent architectures, development lifecycle standards, governance, and operating models. Builds and develops a high-performing technical team, partners with Product, Engineering, Sales, Security, and Legal, and influences Agentforce’s product roadmap. Requires deep expertise in enterprise AI, LLMs, RAG, distributed systems, orchestration, and secure production deployments, with 30% customer travel.

Leads multiple software engineering teams building and operating large-scale, highly available platform services. Owns technical roadmaps, architecture, reliability, SLA compliance, incident management, delivery execution, and organizational performance. Manages and mentors engineering managers and leaders, drives cross-functional alignment, identifies risks and resource gaps, and communicates technical and operational status to executive stakeholders.

Provides security architecture and advisory guidance for large-scale cloud and infrastructure initiatives. Conducts threat modeling, security design reviews, risk assessments, and vulnerability mitigation across application and infrastructure stacks. Partners with engineering and product teams to implement secure designs, improve secure development processes, and prioritize risk-based security initiatives. The role requires expertise in cloud security, identity and access management, networking, encryption, and security communication, with preferred experience in offensive security, Kubernetes, code analysis, and infrastructure security tooling.

Develop and architect scalable backend software, APIs, integrations, and distributed systems for Salesforce products. Build production-grade code using test-driven development, CI/CD, cloud platforms, and AI-assisted engineering tools. Design AI-agent systems and maintain shared system context for reliable outputs. Evaluate human- and AI-generated code for quality, security, and performance, while participating in on-call support for highly available services.

Owns a strategic technology partnership as its cross-functional general manager. Responsibilities include managing executive relationships, developing partnership and go-to-market strategies, coordinating product launches and sales initiatives, influencing internal stakeholders, communicating strategy through scorecards and executive briefings, and leading quarterly business reviews. The role requires strong AI and cloud ecosystem knowledge, executive presence, business acumen, and the ability to deliver complex initiatives in ambiguous environments.

Leads data science and decision science initiatives supporting product adoption, compensation metrics, and operational systems. Responsibilities include statistical modeling, data architecture, experimentation, causal inference, metric validation, M&A data integration, AI-agent lifecycle management, anomaly detection, and executive advisory. The role also establishes analytical standards, improves data reliability and SLAs, and mentors team members.

Leads business value services for enterprise TMT accounts by advising C-suite stakeholders, shaping strategic account and value-based sales strategies, developing ROI-driven business cases, structuring commercial deals, and supporting negotiations. Partners cross-functionally with sales, solution engineering, pricing, legal, and industry teams. Tracks post-sale value realization, drives thought leadership, mentors team members, and scales value methodologies.

Provides paralegal support to Salesforce’s global antitrust and competition legal team. Responsibilities include preparing regulatory filings, supporting M&A transactions, monitoring antitrust developments, assisting with compliance training, coordinating stakeholders and outside counsel, managing legal operations and budgets, and tracking follow-up actions. The role requires strong organization, responsiveness, collaboration, judgment, and the ability to manage competing priorities across global teams.

Own full-cycle recruiting for high-volume and specialized technical roles across engineering, product, and technology teams. Partner with senior technical leaders on hiring strategy, build proactive talent pipelines, negotiate complex compensation packages, advise hiring managers with market intelligence, and deliver a high-touch candidate experience. The role requires deep technical recruiting expertise, strong technical fluency, and experience competing for hard-to-fill talent at top-tier technology companies.

Build and maintain security across the MeshMesh platform, including threat modeling, security reviews, vulnerability scanning, monitoring, remediation, system hardening, compliance support, and continuous control validation. The role partners with engineering teams to secure cloud-based distributed systems, application and infrastructure environments, and AI-assisted development workflows, including agent loops and tool use.

Leads finance operations for Salesforce’s global real estate and workplace services portfolio. Owns budgeting, forecasting, variance analysis, financial controls, dashboards, executive reporting, governance, and reinvestment planning. Partners with senior leaders, FP&A, Accounting, Spend Management, and budget owners to improve financial accountability, data quality, and decision-making. Establishes scalable processes, drives technology and automation improvements, and supports adoption through stakeholder engagement and training.

Leads pricing and monetization analytics, measuring initiative impact and identifying growth opportunities. Defines performance metrics, builds dashboards and automated reporting, and creates frameworks for Corporate Strategy priorities. Partners with pricing, product, sales, deal desk, and field teams to provide actionable insights and operational enablement. Uses statistical analysis, AI tools, and data-driven guidance to improve decision-making and scale best practices.

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.

Build and scale Salesforce’s MeshMesh networking platform through front-end architecture, implementation, testing, and delivery. Collaborate with engineering, product, UX, and performance teams; improve development processes; review designs and code; mentor engineers; and create automated testing frameworks and unit and functional tests. The role requires strong web technology expertise, React ecosystem experience, scalable application development, and use of AI coding tools.

Own the strategy, vision, and roadmap for Salesforce’s MeshMesh agentic mesh networking product. Translate customer and business needs into technical requirements, prioritize use cases, partner with engineering architects, and lead cross-functional programs. The role requires SaaS product management experience, technical fluency, effective executive communication, and hands-on use of AI coding tools such as Claude to build and ship quickly.

Build and lead frontend architecture for Salesforce’s large-scale digital ecosystem. Responsibilities include developing scalable React-based components, owning features from design through delivery, defining testing strategies, optimizing performance and security, and maintaining platform stability. The role collaborates with product, UX, and engineering teams, integrates AI tools into development workflows, mentors engineers, presents technical designs, and champions accessibility, quality, observability, and cross-browser compatibility.

Develop data-driven insights and products for Salesforce’s MeshMesh networking platform. Responsibilities include product analytics, retention and behavioral analysis, data modeling, data instrumentation, algorithm deployment pipelines, self-service dashboards, and strategic advising of senior leadership. The role collaborates with Product, Infrastructure, Engineering, and data teams while promoting data-driven decision-making and improving organizational data practices.