Currently tracking 106 active AI roles, with 397 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $197k–$345k (avg $271k).
Salesforce currently has 133 active AI-related job listings. The majority of these roles, 78%, are focused on agents, with application roles making up another 12%. Engineering is the most frequent function hiring for these positions. Frequent tech tags include agent_orchestration, llm_observability, and tool_use, suggesting a focus on building and managing AI agent capabilities.
Salesforce currently has 142 active AI-related roles in our index. The most common open titles are: Partner Technical Architect - Agentforce (3), AI Builder, Emerging Talent - Arabic Market (2), AI Builder, Emerging Talent - BNL Market (2), AI Builder, Emerging Talent - French Market (2), AI Builder, Emerging Talent - Hebrew Market (2). Most positions are in Engineering and Product.
Salesforce's active AI hiring is concentrated in: agents (77%), application (11%), serving infrastructure (5%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Salesforce is hiring AI talent in: United States (82 roles), India (12 roles), Ireland (11 roles), Mexico (9 roles).
Job postings at Salesforce most frequently mention: Content Generation, Software Engineering, Agentic Systems, System Design, Python.
In the past 30 days, Salesforce has posted 80 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Research Scientist, Singapore Salesforce is seeking entrepreneurial Research Scientists to build, ship, and scale the next generation of Enterprise AI. This role involves identifying high-impact research directions, prototyping AI capabilities, validating ideas with customers, and turning concepts into production-ready solutions. The position emphasizes a startup-like pace and ownership within a large enterprise, focusing on customer adoption and technical innovation for real-world, large-scale problems. | ShipAgent | 9 |
| The Exponential Software Engineer / Principal Agentic Architect Salesforce is seeking an Exponential Software Engineer/Principal Agentic Architect to lead the development and implementation of next-generation agentic tools within their AI CRM platform. This role involves architecting and building bespoke agentic IDEs, owning the entire product lifecycle from requirements to deployment, and guiding AI agents to produce high-quality deliverables. The ideal candidate will have deep engineering mastery, a founder's instinct, and proven experience with advanced AI coding tools and prompt engineering. |
| Agent |
| 9 |
| Software Engineering SMTS- LLM Model building Salesforce is seeking a Senior Applied Scientist to build and develop LLMs for their production-grade AI agents. This role involves hands-on work across the full model development lifecycle, including training, fine-tuning, evaluation, reinforcement learning, optimization, and deployment support for enterprise-grade agentic workflows, reasoning systems, and multi-modal AI capabilities. | Post-trainAgent | 9 |
| Sr. Director, Responsible AI Science and Engineering Salesforce is seeking a Sr. Director of Responsible AI Science and Engineering to lead the transformation of their Responsible AI (RAI) practice from manual reviews to scalable, AI-powered automated systems. This role involves defining the technical roadmap, architecting production systems for RAI testing and evaluation, establishing scientific rigor, influencing cross-functional strategy, and leading a team of technical experts. The focus is on building robust infrastructure and scientific foundations to ensure trustworthy AI across the enterprise, with a strong emphasis on evaluation science, adversarial testing, and systematic defenses against AI risks. | Eval GateAgent | 9 |
| PMTS - Principal Agentic Data Engineer The Principal Agentic Data Systems Engineer will architect and maintain a private ecosystem of autonomous agents for ETL, synthetic data generation, automated QA, and predictive modeling. This role involves designing multi-step reasoning architectures and verification protocols for agent self-validation, acting as a Human-in-the-Loop Orchestrator to manage complex hand-offs between specialized AI agents, and ensuring governance for data pipelines and agent development. The engineer will also develop and maintain Model Context Protocol (MCP) servers for agent access to data sources. | AgentData | 9 |
| Software Engineering LMTS Lead Applied Scientist role focused on powering Salesforce's production-grade AI agents with core LLMs. The role involves hands-on work across the full model development lifecycle, including research, training, fine-tuning, evaluation, and deployment readiness, with a strong emphasis on reinforcement learning and continuous learning pipelines. Requires technical leadership, mentorship, and a PhD in a related field. The role operates at the intersection of research and deployment, aiming to translate prototypes into production-grade models. | Post-trainAgent | 9 |
| Senior, Member of Technical Staff Salesforce is seeking a Senior Software Engineer to join their Agentic Selling Team. The role involves designing and building production AI agents using Agentforce, Agent Script, and NGA, integrating with Salesforce CRM and Data Cloud. Responsibilities include architecting multi-node agent orchestration, memory systems, RAG patterns, and content ingestion pipelines, as well as implementing agent observability and mentoring junior engineers. The ideal candidate has 6+ years of experience, strong backend development skills, deep knowledge of LLMs, and proven experience with prompt engineering, RAG, and building LLM-based applications or agents. | Agent | 9 |
| Principal Architect Salesforce is seeking a Principal Architect to lead their AI-native engineering organization, focusing on architecting and scaling systems where human intellect and autonomous agents collaborate. The role involves defining the AI lifecycle, building agent infrastructure, establishing rigorous evaluation frameworks, and pioneering technical taste for agent-accelerated development. Requires deep experience in large-scale systems and cutting-edge AI architectures, particularly agentic loops and multi-agent orchestration. | AgentEval Gate | 9 |
| Forward Deployed Engineering Lead Salesforce is seeking a senior-level Agentforce Forward Deployed Engineer with 5+ years of experience to lead complex AI agentic deployments. This role involves designing, developing, and implementing bespoke AI solutions leveraging the Agentforce platform and LLM technologies, acting as a hands-on technical leader and strategic partner for clients. Responsibilities include end-to-end technical delivery, building AI agents and automated workflows, data configuration, removing technical blockers, driving platform innovation, and conducting deep-dive debugging. | Agent | 9 |
| AI Architect - Software Engineering Salesforce is seeking an AI Architect to shape the development, deployment, and scaling of agentic systems within their Agentforce platform. This role involves inventing new primitives, incubating next-generation agentic systems, collaborating with customers, and defining architectural direction for enterprise AI agents in production. The position requires a blend of coding, whitepaper writing, runtime design, and executive communication. | Agent | 9 |
| AI Builder, Emerging Talent - Italian Market Salesforce is seeking early-career AI Builders to design, develop, and deploy agentic solutions for Fortune 500 clients. This role involves building AI agents that take real actions, designing agent intelligence (prompts, reasoning, tool calls), supporting the full technical lifecycle with JavaScript, Python, and Apex, and partnering with clients to turn business challenges into agentic solutions. The role emphasizes a builder mindset, hands-on technical skill development, and customer-facing collaboration. | Agent | 9 |
| AI Builder, Emerging Talent - Swedish Market Salesforce is seeking early-career AI Builders to design, develop, and deploy agentic AI solutions for Fortune 500 companies. This role involves building AI agents, designing their intelligence (prompts, reasoning, tool calls), supporting the full technical lifecycle with JavaScript, Python, and Apex, and collaborating with clients to turn business challenges into agentic solutions. The program emphasizes hands-on technical skill development, mentorship, and real-time customer impact. | Agent | 9 |
| SMTS/LMTS - AI ML Engineers Salesforce is seeking an AI/ML Engineer to join their Agentic AI team, focusing on Data Management and building scalable AI solutions like Agents, AI Copilots, Chatbots, AI Planners, and RAG solutions. The role involves technical leadership, architectural guidance, and driving the full SDLC for Agentic AI products within an enterprise context. | AgentData | 9 |
| Principal Agentic Data Systems Engineer Salesforce is seeking a Principal Agentic Data Systems Engineer to architect and manage a private ecosystem of autonomous agents for ETL, synthetic data generation, automated QA, and predictive modeling. This role involves designing multi-step reasoning architectures, verification protocols, and managing hand-off protocols between specialized AI agents, acting as a central anchor for a hybrid human-agent intelligence unit. The engineer will also develop and maintain Model Context Protocol (MCP) servers for agent access to data sources. | AgentData | 9 |
| Summer 2026 Intern - AI Research Salesforce AI Research is seeking outstanding research interns to collaborate on projects leading to top-tier conference submissions. The role involves developing novel algorithms in NLP, CV, RL, or general ML, with a focus on pure research aligned with PhD areas. Candidates should have a strong background in deep learning and experience with libraries like PyTorch or TensorFlow. | Pretrain | 9 |
| Research Scientist - Salesforce AI Research Salesforce AI Research is seeking an AI Research Scientist/Engineer to develop new technology and science for millions of CRM customers, focusing on large-scale Generative AI, Agentic Systems, Speech Intelligence, and Multimodal Deep Learning. The role involves discovering research problems, developing novel models, and bridging theory with customer-facing reality, with opportunities to advance state-of-the-art AI and see work operate at massive scale within an enterprise context. Responsibilities include owning research goals, developing novel models and solutions for enterprise problems, and designing/building production-ready services and agentic evaluators. | Post-trainAgent | 9 |
| Director, AI & Tooling Salesforce is seeking a Director of AI & Tooling to lead a team focused on generative AI capabilities, evaluation tooling, and observability for their customer-facing Help Agent. This role involves driving AI product strategy, data-driven evaluation, and production excellence to ensure the Help Agent performs reliably and delivers business value. Responsibilities include leading generative AI strategy, owning evaluation tooling, managing observability programs, overseeing the NNAOV program, and supporting AI skill development. The goal is to improve resolution rates, quality scores, and latency, and establish a centralized observability platform and scalable evaluation framework. | Eval GateAgent | 8 |
| SVP, Product Management – MuleSoft Agent Fabric & AI Control Plane Salesforce is seeking an SVP of Product Management to lead the strategy, development, and execution of MuleSoft Agent Fabric, a unified AI control plane for managing, discovering, orchestrating, and governing multi-vendor AI agents across the enterprise. The role involves defining the vision for the AI Control Plane, driving core capabilities in Governance & Security, AI FinOps, and Agent Operations, leading a product management team, and ensuring cross-cloud alignment and ecosystem partnerships. | AgentServe | 8 |
| Lead Offsec AI-Automation Developer Lead the design and build of agent-based automation for offensive security and security research, working with the AI-Automation Director to turn architecture into production-grade systems that reason over complex data and act safely in real environments. This role requires strong software engineering experience with AI-driven systems, LLMs, and agentic frameworks, focusing on core system components like agent logic, orchestration, tool interfaces, and state management. The candidate will also build observability and debugging into AI-assisted systems and evaluate AI-generated code. | Agent | 8 |
| Director, AI and Innovation Salesforce is seeking a Director, AI and Innovation to lead the strategy, development, and adoption of AI and emerging technologies. This role involves defining AI strategy, identifying use cases, leading cross-functional teams to pilot and scale AI solutions, and establishing governance frameworks for responsible AI. The Director will mentor a team focused on innovation and applied AI delivery, with a focus on building and owning an agent ecosystem, designing end-to-end workflows, turning business logic into automation, building data/feedback loops, and automating governance. The role requires hands-on experience with LLMs, agentic frameworks, ML Ops, and enterprise-grade AI/ML platforms, with a focus on delivering AI capabilities to achieve business impact. | AgentServe | 8 |
| Product Deployed Engineer Salesforce is seeking a Product Deployed Engineer to embed with lighthouse customers and deliver AI-powered Service Cloud capabilities. This role involves end-to-end technical delivery, including architecture, agent logic, integration, deployment, and production hardening. The engineer will resolve customer blockers by shipping fixes into the core Agentforce product, design and build agentic systems, manage the data lifecycle for deployments, and contribute field learnings to the product team. The role requires strong programming expertise, advanced AI capabilities with LLMs, deep Salesforce platform knowledge, and customer-centric problem-solving skills. | AgentServe | 8 |
| Software Engineering - Core Software Engineering - Software Engineering PMTS-2 Salesforce is seeking a Principal Member of Technical Staff to lead the engineering vision for AgentExchange's Search and Personalization services. This role involves designing and delivering the next generation of agentic search, which is a multi-turn, context-aware discovery experience powered by GenAI, personalization signals, and real-time behavioral data. The position requires deep expertise in building and operating large-scale search and recommendation systems, with a focus on AI-native engineering and platform modernization. | AgentServe | 8 |
| Senior Data Scientist – Applied AI Salesforce is seeking a Senior Data Scientist to join their Data Science team, focusing on building and evaluating enterprise AI systems including conversational agents, voice experiences, language models, and intelligent automation. The role involves designing experiments, building evaluation frameworks, analyzing telemetry, developing statistical models, optimizing prompts, fine-tuning foundation models, and ensuring responsible AI practices. The ideal candidate will have strong experience with LLMs, generative AI, AI agents, RAG, and fine-tuning, with a focus on delivering measurable customer impact. | Eval GatePost-train | 8 |
| Software Engineering PMTS - Data Platform Salesforce is seeking a senior technical leader to own the end-to-end data architecture for their AgentExchange platform. This role involves consolidating fragmented data pipelines into a trusted platform, defining data contracts, and architecting an LLM- and agent-native layer for intelligent experiences. Responsibilities include building ML platforms, managing feature stores, training/serving infrastructure, and implementing RAG, embeddings, and vector stores for agent access to marketplace data. The role requires strong cross-org technical leadership, executive communication, and experience with data security and governance in a cloud-native environment. | AgentServe | 8 |
| Senior Director, Product Management Product Leader to define the roadmap for autonomous voice agents that transform customer service and contact centers. The role involves defining the future of 'Agentic Voice' where AI reasons, integrates with enterprise data, and resolves complex customer issues end-to-end. Key responsibilities include product vision, strategy, agentic frameworks, voice infrastructure, enterprise integration, voice excellence, and go-to-market strategy. | AgentServe | 8 |
| AI Builder, Emerging Talent - Greek Market Salesforce is seeking early-career AI Builders to design, develop, and deploy agentic solutions for enterprise clients. This role involves building AI agents that take real actions, designing their intelligence (prompts, reasoning, tool calls), supporting the full technical lifecycle with JavaScript, Python, and Apex, and partnering with clients to translate business challenges into agentic solutions. The program emphasizes hands-on technical skill development, mentorship, and rapid iteration from development to deployment. | Agent | 8 |
| VP, Product Management- Agentforce Voice VP of Product Management to lead the global Speech, Language, and Industry Model Platform powering Agentforce Voice. This role owns the complete speech and language stack, including S2S, STT/ASR, TTS, multilingual support, accent/dialect adaptation, language expansion, speech quality, industry-specific models, and related capabilities. The focus is on defining how Salesforce delivers accurate, natural, low-latency voice experiences across various deployment models and customer environments, including hosted and self-hosted solutions, APIs, model orchestration, hybrid model management, performance tuning, model evaluation, domain adaptation, and enterprise-scale operations. The role involves building and leading a product organization with regional and industry focus, aligning with cross-functional teams, and managing a high-performing team of product managers. | Post-trainServe | 8 |
| Senior Member of Technical Staff - AI Research Salesforce is seeking a Senior Member of Technical Staff - AI Research to design, implement, and iterate on agentic AI systems. This role involves building production-grade software, orchestrating complex AI agent integrations, and contributing to shared system context. The ideal candidate will have strong Python skills, practical experience with LLMs and agentic workflows, and experience deploying ML systems on cloud platforms. | AgentServe | 8 |
| Director, Product Management , Agentic Optimization Salesforce is seeking a Director of Product Management to own agentic analytics for their Agentforce platform. This role involves analyzing enterprise agent behavior in production, clustering failures, and providing recommendations for improvement. The candidate will own the roadmap, user experience, and go-to-market strategy, working closely with engineering, design, and customers. The role requires daily use of coding agents, experience building and evaluating agents, and a strong understanding of LLM orchestration, tool use, and evaluation frameworks. | AgentEval Gate | 8 |
| SVP Product, Agentforce Development Lifecycle SVP of Product Management for Agentforce Development Lifecycle (ADLC) at Salesforce. This executive role will define and own the product vision, strategy, and roadmap for a new operating system governing Agentforce applications, focusing on AI-assisted development, automated agent testing, and secure deployment pipelines. The role requires a GM mindset, deep technical understanding of enterprise software and AI-first/agentic automation frameworks, and experience leading large global product management organizations. | Agent | 8 |
| Software Engineering SMTS/LMTS Salesforce is seeking a Senior Member of Technical Staff (SMTS) / Lead Member of Technical Staff (LMTS) for their AI Services team to design and build AI agents and automation infrastructure. The role involves creating intelligent agents that reason, plan, use tools, and execute multi-step workflows for tasks like automated test generation, failure triage, and codebase analysis. The team also builds the agent orchestration layer, an AI Quality Readiness scoring platform, and an agent contribution ecosystem. The role requires strong software engineering experience, experience building AI agents, and understanding of developer tooling and CI/CD. | AgentEval Gate | 8 |
| Software Engineering SMTS - Agentforce Reasoning Engine Salesforce is seeking an AI Software Engineer to build and scale the Agentforce Reasoning Engine, a core Python service for multi-agent orchestration. The role involves designing and implementing scalable backend services, integrating with LLMs, managing state, and ensuring system reliability for millions of customers. Experience with production AI systems, Python, async services, distributed systems, and LLM integration is required. | Agent | 8 |
| Principal Product Designer - PMTS Principal Product Designer for an AI SDR agent (Piper) that runs autonomous sales conversations. Focus on designing the AI brain interface for shaping personality, goals, and objection handling, and the conversational presence (chat/video) for credibility. Requires experience with LLM behavior and AI tooling. | Agent | 8 |
| Portfolio Leader (Builder People Lead) Salesforce is seeking a Portfolio Leader to manage and grow a team of technical AI specialists deploying Agentforce solutions in customer environments. This role requires a builder mindset and involves leading a blended delivery team of Forward Deployed Engineers and Deployment Strategists. The leader will set engineering standards, unblock customer deployments, scale talent, and influence product roadmaps by providing field insights. Responsibilities include capacity planning, talent acquisition, fostering an engineering culture, mentoring, driving technical excellence, acting as a final technical escalation point, guiding enterprise implementations, and ensuring customer adoption and business impact. | Agent | 8 |
| Partner Technical Architect - Agentforce (LATAM) Salesforce is seeking a Partner Technical Architect to help System Integrator (SI) partners build and scale production-grade Agentforce solutions. This role involves prototyping, building reference implementations, and reviewing partner architectures for agent design, retrieval, tooling, guardrails, and observability. The architect will coach partners and translate field lessons into reusable assets, focusing on applied AI fluency and enterprise architecture judgment. | Agent | 8 |
| Software Engineering MTS - Full-Stack/Agentic AI Engineer Salesforce is seeking a Software Engineering MTS - Full-Stack/Agentic AI Engineer to join their Agentforce team. The role involves architecting, designing, and shipping scalable full-stack applications on the Agentforce platform, building and iterating on AI agent tooling using modern agentic frameworks and LLM-backed workflows, and designing systems where AI agents integrate into human workflows. The candidate should have deep OOP knowledge (Java or Python), full-stack experience (React/TypeScript, APIs, backend services), and hands-on experience with agentic platforms, prompt engineering, RAG, and tool/function calling. | Agent | 8 |
| Software Engineering SMTS - Agentforce Reasoning Engine Salesforce is seeking a Software Engineering SMTS for their Agentforce Reasoning Engine team. This role involves building and owning scalable backend services for multi-agent orchestration, focusing on Python/FastAPI, stateful session management, system performance, and collaboration with AI researchers. Experience with production AI systems, async services, distributed systems, and LLM integration is required. | Agent | 8 |
| Senior Director, Agentic Transformation Lead Salesforce is seeking a Senior Director, Agentic Transformation Lead to spearhead the AI transformation of their internal employee-facing technology. This role will coordinate AI initiatives, establish standards, manage AI development tools, streamline delivery processes, measure impact, and define new roles and ways of working in an agentic era. The focus is on operationalizing AI agents to drive engineering productivity and create a replicable playbook for enterprise customers. The ideal candidate has extensive leadership experience, deep technical credibility, and a proven ability to drive outcomes through influence and hands-on execution. | Agent | 8 |
| Software Engineering MTS - Full-Stack/Agentic AI Engineer Salesforce is seeking a Software Engineering MTS - Full-Stack/Agentic AI Engineer to join their Agentforce team. The role involves architecting, designing, and shipping scalable full-stack applications on the Agentforce platform, building and iterating on AI agent tooling using modern agentic frameworks and LLM-backed workflows, and designing systems where AI agents integrate into human workflows. The candidate should have deep OOP knowledge (Java or Python), full-stack experience (React/TypeScript, APIs, backend services), and hands-on experience with agentic platforms, prompt engineering, RAG, and tool/function calling. | Agent | 8 |
| Lead Product Designer, LMTS Lead Product Designer for an AI SDR (Sales Development Representative) product called Piper, which runs autonomous sales conversations. The role focuses on designing the user interface for shaping the AI's personality, goals, and reasoning, as well as the conversational presence in live chat and video experiences. This involves understanding LLM behavior, designing for latency and turn-taking, and working closely with engineering and ML teams to define the patterns for autonomous agents in enterprise sales. | Agent | 8 |
| Director, Product Management Agentforce Trust & Guardrails Director of Product Management for Salesforce's Agentforce platform, focusing on trust and guardrails for AI agents operating in production, especially for regulated and security-sensitive customers. The role involves defining product strategy for agentic AI safety, enterprise security, runtime policy enforcement, and customer-configurable controls across various modalities (text, voice, image). Responsibilities include driving requirements for safety patterns like prompt injection defense, unsafe action prevention, tool-use controls, data exfiltration protection, auditability, and human-in-the-loop controls, as well as partnering with engineering and security teams on runtime enforcement, evaluations, red teaming, and feedback loops. The role also owns product strategy for regulated customer trust patterns and works directly with strategic customers to identify blockers and turn escalations into scalable platform capabilities. | Agent | 8 |
| Lead Agentic Data Systems Engineer Lead Agentic Data Systems Engineer responsible for architecting and maintaining a private ecosystem of autonomous agents for ETL, synthetic data generation, automated QA, and predictive modeling. The role involves designing multi-step reasoning architectures, verification protocols, and providing agents with secure data access. This is a hands-on engineering role focused on building production-grade data products and managing complex hand-off protocols between specialized AI agents. | AgentData | 8 |
| Lead Software Engineer Salesforce is seeking a Lead Software Engineer to join their Tableau team, focusing on developing AI-powered analytics agents. The role involves building next-generation generative AI products, shaping user experiences with LLMs and agents, designing scalable agentic systems, and evaluating their performance. The position requires strong programming and distributed systems skills, experience with modern software development practices, and expertise in shaping experiences with LLMs and agents. | Agent | 8 |
| Offensive Security MTS/SMTS - AI Platform & Orchestration - Hyderabad This role is for a backend-focused engineer to build an AI platform for offensive security operations. The focus is on creating the infrastructure, AI harness, and orchestration layers for autonomous security workflows, including agent-based automation, state management, memory, and tool integration for LLM-based systems. | Agent | 8 |
| Principal Applied Scientist, Agentforce Operations Salesforce is seeking a Principal Applied Scientist for their Agentforce Operations team. The role focuses on designing, implementing, and training novel deep learning models for enterprise data, prototyping new architectures, and turning research into production-ready features. The ideal candidate has a Master's or PhD, experience with transformer architectures and retrieval mechanisms, a track record of publications, and strong Python skills with experience in distributed training frameworks. | Post-train | 8 |
| Forward Deployed Engineer Salesforce is seeking a senior Forward Deployed Engineer to lead complex AI agentic deployments using their Agentforce platform. The role involves designing, developing, and implementing AI/LLM-based intelligent agents and automated workflows, integrating them with customer systems, and providing technical leadership and mentorship. Responsibilities include hands-on implementation, data configuration, technical problem-solving, and driving innovation within the Agentforce platform. | Agent | 8 |
| Platform Engineer — Cloud Infrastructure (SMTS) Salesforce is seeking a Senior Member of Technical Staff (SMTS) for their Platform Engineering team within Cloud Infrastructure. This role focuses on applying AI/ML solutions to infrastructure and operations problems, building intelligent, self-healing platform tools. The engineer will write core platform services in Go and Python, design multi-agent workflows for automation, build RAG systems for documentation, and act as an AI amplifier for the engineering organization. The primary focus is on integrating AI, LLMs, and autonomous agents into multi-cloud platform services to improve reliability, reduce toil, and enhance developer experience. | AgentServe | 8 |
| Product Manager/Sr Product Manager, Agent Fabric Product Manager for Salesforce's Agent Fabric, a multi-platform agent control plane. The role involves defining and shipping features for agent discovery, governance, orchestration, and observation across various enterprise agent estates. It requires defining technical roadmaps, partnering with engineering on system design, collaborating with UX on control plane experiences, engaging with design partners, and contributing to go-to-market strategies. The ideal candidate has experience building platform or infrastructure products, understands how agents work, is technically fluent, and has experience shipping new products from scratch. | Agent | 8 |
| Director of Product Management, Agentic Workflows Director of Product Management for Agentforce Grid, a Salesforce AI-native builder for orchestrating data, agents, actions, and business processes at enterprise scale. The role involves defining product vision, strategy, and roadmap for a platform that combines spreadsheets with autonomous agents to operationalize AI across various business functions. Success requires expertise in AI systems, workflow orchestration, developer platforms, and end-user experience, with a focus on shipping monthly and driving user adoption. | Agent | 8 |
| Senior Manager, AI Solutions Architect Salesforce is seeking a Senior Manager, AI Solutions Architect to define the technical architecture for their AI agent portfolio, govern multi-agent orchestration patterns, and own the connective tissue layer for integrating agents, APIs, and enterprise platforms. The role involves setting standards for agent development, testing, and evaluation, managing agent performance post-deployment, and ensuring system health and reliability. | Agent | 8 |