Jobs at Salesforce

Design and build distributed backend systems for Salesforce’s agentic product setup platform. Develop a reusable agent framework, composable skill APIs, evaluation infrastructure, retrieval capabilities, and production-grade software. Establish system context and engineering standards while evaluating code for security, correctness, quality, and performance. Collaborate on AI agent, LLM, semantic search, and structured data solutions.

Build production-grade Java software and AI-enabled systems. Design backend services integrating LLMs through external APIs, develop observability for long-running AI jobs, evaluate human- and AI-generated code, and create automated testing and quality tools. The role also involves designing structured prompts, consuming REST APIs, working with AWS services, maintaining CI/CD pipelines, creating Docker images, and collaborating in a monorepo environment.

Supports early-talent recruiting through event coordination, candidate outreach, communications, recruiting data maintenance, metrics tracking, workflow audits, automation opportunities, and talent-market research. Partners with recruiters, university relations teams, and hiring managers to improve candidate experience, data quality, sourcing initiatives, and workforce-planning insights.

Own and operate Salesforce’s Monitoring Cloud infrastructure at scale. Design Terraform and Kubernetes automation across AWS and GCP, productize monitoring components such as Grafana, support air-gapped deployments, manage upgrades and performance, participate in on-call operations, conduct root-cause analysis, and deliver resilient platform features. Use AI-assisted development tools for infrastructure coding, testing, documentation, incident response, and automation while retaining accountability for architecture, security, reliability, and customer outcomes.

The Architect, Data Platform role involves designing and owning the data architecture for AgentExchange, overseeing data pipelines, analytics, migration, and ensuring data security while leading technical strategy and mentorship within the team.

Build and scale production-grade Java and Python backend services and APIs for a highly available distributed cloud platform. Own services end to end, automate CI/CD pipelines, apply DevOps practices including containers, infrastructure as code, and observability, and integrate AI/ML capabilities. Participate in code reviews, mentoring, and on-call rotations while supporting high-availability production environments.

Develop and support scalable software and infrastructure automation for global production environments. Build AI-driven automation, orchestration tools, and operational efficiency solutions using Python, Go, Terraform, cloud platforms, Kubernetes, and Puppet. Design secure, fault-tolerant software, manage database and operating-system workflows, provide high-level operational support, and mentor engineers while collaborating with technical and business stakeholders.

The Mulesoft Consumption Lead drives customer success by promoting and expanding Mulesoft usage within key accounts, utilizing technical expertise and strategic growth initiatives.

Staff and Principal Product Data Scientists will use advanced analytics, experimentation, causal inference, machine learning, and large-scale data technologies to guide Slack product strategy. They will define success metrics, build self-service reporting and data models, evaluate product adoption drivers, identify growth opportunities, and help develop Slack’s agentic data delivery platform. The role partners closely with Product, Design, Engineering, Product Research, and go-to-market teams while communicating insights to executives and cross-functional stakeholders.

Partner with enterprise business units to manage security risk registers, conduct architecture reviews and threat modeling, provide security expertise, prioritize remediation, and drive bug closure. The role requires translating security frameworks into business-relevant risk, communicating with senior stakeholders, and applying sound judgment to AI-assisted security analysis. Responsibilities and autonomy vary across Senior Analyst, Lead, and Senior Lead levels.

Owns the roadmap and lifecycle of Agentforce workflow automation solutions. Designs and validates process blueprints, translates customer needs into PRDs and technical requirements, manages backlogs and Agile delivery, conducts customer research, and collaborates with engineering, design, and customer-facing teams to deliver scalable enterprise B2B SaaS solutions.

Build and operate resilient, highly available distributed systems and cloud infrastructure at scale. Responsibilities include developing automation tools, microservices, Infrastructure-as-Code with Terraform, and production-grade software using AI-assisted workflows. The role involves open-source contributions, system design, performance optimization, monitoring, incident response, technical debt reduction, and on-call support. Candidates must bring backend development experience, strong programming skills, critical-service ownership, database knowledge, advanced prompt engineering, and an AI-first engineering approach.

Develop and operate highly available cloud infrastructure and distributed backend systems across large public cloud environments. Build automation tools, infrastructure-as-code, microservices, and containerized platforms; troubleshoot complex production issues; improve reliability, resilience, and performance; manage technical debt; and participate in on-call support. The role focuses on DNS, cloud architecture, Linux systems, network technologies, CI/CD, monitoring, and large-scale infrastructure delivery.

Leads Salesforce’s global broad-based compensation strategy, governance, job architecture, pay structures, annual compensation programs, pay equity, transparency, analytics, AI modernization, and M&A compensation integration. Partners with executive leadership, Finance, Legal, Tax, Payroll, Benefits, Talent, and Employee Relations while building a high-performing global compensation team and strengthening enterprise decision-making, controls, and compensation capabilities.

Coordinate recruiting activities from initial candidate contact through offer, including interview scheduling across time zones, travel arrangements, expense reimbursements, offer letters, and background checks. Partner with recruiters, hiring managers, and candidates to ensure an accurate, efficient experience. Use Workday, Slack, Google Suite, AI familiarity, and data-driven insights to improve workflows and support recruiting projects.

Senior pre-sales Solution Engineer for SMBs specializing in Master Data Management. Partner with Account Executives to lead technical discovery, deliver demos, PoCs, whiteboarding and architecture workshops, respond to RFIs/RFPs, and recommend MDM integrations (MuleSoft/Informatica). Advocate MDM best practices (entity resolution, data modeling, governance, integration, headless APIs) and collaborate with Product, Engineering, and Product Marketing to improve Data Foundation offerings.

Lead go-to-market execution and product marketing for Salesforce Agentforce. Develop sales plays, enablement programs, demos, messaging, pricing narratives, and AI-powered seller tools. Partner with Product, Sales, Strategy, and cross-cloud teams to accelerate adoption, pipeline growth, and revenue. Use field insights and usage data to identify blockers, improve readiness, and refine programs across global selling organizations.

Design, build, and own scalable backend systems and APIs powering Slackbot, including search, integrations, and AI capabilities. Collaborate with product, design, and engineering teams to deliver user-focused features, make architectural decisions, resolve production issues, and improve system reliability. Mentor engineers, conduct code reviews, and advance engineering standards, tooling, and processes across the team.

Owns strategy, planning, and end-to-end delivery of global Partner Advisory Boards and Strategic Roundtables. Manages event logistics, content and presentation strategy, stakeholder alignment, communications, vendors, budgets, contracts, timelines, and post-event analysis. Builds scalable playbooks, processes, and content repositories while directing cross-functional teams and external agencies. Reports program strategy and results to senior stakeholders and ensures partner-facing experiences meet Salesforce brand and messaging standards.

Own sales KPI reporting, forecast models, executive business reviews, target setting, and scalable reporting tools for Salesforce’s TMT sales organization. Translate complex data into strategic narratives for senior leadership, identify AI sales patterns, support go-to-market execution, and resolve operational issues with Finance, Marketing, Partners, Product, Recruiting, and sales teams.