Senior/Lead/Principal Software Engineer, Agentforce Operations (San Francisco)

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.The ExperienceGlobal supply chains still rely on slow, manual processes—email, spreadsheets, and fragmented data. The economy moves fast but supply chains don't, creating an inefficiency that affects the $13T of goods shipped annually and is one of the largest untapped opportunities in modern enterprise.Agentforce Operations is reimagining the supply chain with an AI-powered platform for designing, automating, and running end-to-end business processes, with seamless collaboration through familiar channels like email. For Salesforce, this represents a massive growth opportunity in the back office, with innovations that flow into the front office. Customers are clamoring for more, rapidly expanding their use cases as we enter an exhilarating growth phase. As one user put it: I've been waiting for this for 20 years.The TeamsSuper Agent TeamThe Super Agent backend is the operational heart of Agentforce Operations — managing complex, infinitely configurable state with equally complex state transitions and interfaces across the platform. Built with intentional startup speed, the team is now hardening and scaling its foundations as customer adoption accelerates. You'll work on one of the most technically challenging and impactful backends at Salesforce: decomposing tightly coupled domains, hardening state transitions, designing cross-team boundaries, and building the observability needed to operate confidently at enterprise scale. Wide autonomy, real ownership, and meaningful advancement await.Integration & Platform TeamThe Integration & Platform team owns the mission-critical data and integration backbone of the Agentforce Operations. The team is responsible for designing, building, and scaling the systems that connect our platform to the broader Salesforce ecosystem — including Mulesoft, Flow, and Data Cloud — while also powering the self-serve data synchronization mechanisms that customers depend on daily. The work here directly forms the foundational data layer enabling core customer intelligence, platform functionality, and enterprise-grade reliability at scale.What You'll Actually Be DoingWe are seeking a highly experienced Senior, Lead, and Principal Engineers to serve as a key individual contributor across the Super Agent and Integration & Platform teams. In this role, you will own the hardest cross-cutting system problems, set technical direction, and drive foundational investments that enable Agentforce Operation to scale.Super AgentDiagnose and prioritize the most impactful foundational investments across the Super Agent backend, partnering with engineering leadership to sequence them against product deliveryOwn the hardest cross-cutting system problems, from architectural decomposition to cross-team interface design, going deep hands-on when the problem demands itBuild shared understanding of system health and risk across the team, helping establish the frameworks and observability needed to make investment decisions with confidenceRaise and maintain the engineering quality bar through pragmatic standards, guardrails, and team practices that prevent regressions and keep code healthy over timeIntegration & PlatformArchitect and implement powerful integrations between the core platform and Salesforce ecosystem products, specifically Mulesoft and FlowLead the design and implementation of highly scalable, efficient, and reliable data export pipelines, integrating internal data sources (CSV files, REST API outputs) with Salesforce Data Cloud and/or InformaticaOptimize existing ETL pipeline infrastructure to support a daily, self-serve customer data synchronization mechanism with Data Cloud — fully automated, requiring minimal engineering involvement post-setupDesign and build simplified, performant, customer-facing APIs and webhooks, including an abstracted version of high-value functionality currently exposed via complex GraphQL endpointsShared ResponsibilitiesArchitect, design, and deliver high-quality, scalable code for complex data integration and platform featuresDrive technical decision-making and project execution as the primary individual contributor for key initiativesConduct thorough code reviews and mentor engineers on best practices for performance, security, and scalabilityCollaborate cross-functionally with Product Management and other engineering teams to define requirements and deliver solutions that meet business needsBuild and ship production-grade software using modern engineering practices, with AI as a core part of your development workflowDesign and orchestrate complex systems where AI agents integrate seamlessly into human workflowsContribute to building and maintaining shared system context — an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliablyCritically evaluate code (human or AI-generated) for correctness, quality, security, and performanceMentor engineers as a senior peer and force multiplier, helping shape stronger engineering judgment and a higher-performing teamLong-Term Strategic ImpactSet the technical direction and standards for data integration, ETL processes, and backend architecture across the platformIdentify and mitigate architectural risks associated with scaling our data infrastructure to support exponential customer growthDrive continuous improvement in system performance, observability, and operational efficiencyYou're Our Person If...3+ years (Senior), 5+ years (Lead), 8+ years (Principal): of industry experience as a backend engineer, building and operating large-scale, user-facing web applications and/or data systemsA related technical degree requiredDeep expertise in multiple areas of backend engineering: data modeling, DB performance tuning, state management, API design, transactionality, concurrency, fault tolerance, and scalingDemonstrated expertise in designing, building, and maintaining production-grade data pipelines (ETL/ELT)Expert-level proficiency in at least one modern programming language (e.g., Java, Python, Go) suitable for platform developmentProven experience designing and implementing robust, external-facing REST APIs and WebhooksDeep practical knowledge of distributed systems, high-availability architectures, event queues, and asynchronous task processingTrack record of diagnosing systemic architectural problems, prioritizing across competing technical investments, and driving measurable improvement over timeExperience designing and improving interfaces and boundaries between teams and systemsExperience in a lead technical role (LMTS/PMTS level or equivalent), driving and owning complex projects as an individual contributorExcellent written and verbal communication skills, with the ability to lead real-time technical design discussionsExperience working in tandem with Product Managers and Engineers to shape requirements, evaluate tradeoffs, and balance product delivery against foundational investmentDemonstrated ownership and accountability, with a consistent track record of high standards and low-ego collaborationA demonstrated, genuine AI-first approach to engineering — using AI to move faster, build fluency across the stack, and contribute well beyond your core specialtyExperience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflowsAdvanced prompt engineering skills and the ability to write precise, structured prompts and cultivate system context that makes AI outputs reliable, secure, and production-readyEven Better If...B.S. in Computer Science (M.S. preferred)Mastery of Golang, GraphQL, and PostgreSQLHands-on experience with Salesforce integration technologies such as Mulesoft or Salesforce Data CloudExperience working with large-scale event streaming platforms (e.g., Kafka, Kinesis)Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)Experience designing or working with GraphQL API implementationsExperience with workflow enginesExposure to the supply chain, logistics, or manufacturing industryExperience working within rapidly evolving systems, balancing early-stage ambiguity with scaling, reliability, and maintainability concernsNotable open-source contributions, patents, or published researchFamiliarity with the Salesforce platformUnleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process.