Agentforce Technical Manager (Salesforce experience mandatory)

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 Category Customer Success Job Details About Salesforce Salesforce 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. We’re Salesforce, the Customer Company, inspiring the future of business with AI Data CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And we empower you to be a Trailblazer, too — driving performance, career growth, and innovation at scale. Agentforce represents the next evolution of Salesforce AI — enabling autonomous agents, intelligent workflows, and conversational experiences that transform how work gets done. About the Role We are seeking an experienced Agentforce Technical Manager to join our Global Delivery Centre (GDC) This role blends people leadership, technical architecture, and delivery ownership to scale Agentforce capabilities across global customer implementations. You will lead teams building intelligent AI agents, copilots, and autonomous workflows while defining architecture standards, reusable frameworks, and enterprise deployment patterns. Your Impact Technical Architecture Leadership Architect scalable, enterprise-grade Agentforce solutions. Design intelligent agents leveraging LLMs, prompt engineering, and orchestration frameworks. Define reusable patterns for agent skills, guardrails, and multi-agent collaboration. Lead integrations across Salesforce Clouds, Data Cloud, MuleSoft, and external systems. Establish RAG, knowledge grounding, and document ingestion architectures. Drive performance optimization, monitoring, and telemetry frameworks. Agentforce Capability Development Lead end-to-end lifecycle of Agentforce implementations. Drive agent design, prompt strategies, and skill orchestration. Build reusable accelerators and deployment frameworks. Partner with Product and COE teams on pilots and innovation programs. People Management & Team Leadership Manage and mentor a team of Agentforce engineers and architects. Drive hiring, onboarding, and capability development. Conduct performance reviews and career coaching. Build high-performing pods aligned to delivery programs. Foster a culture of innovation, learning, and technical excellence. Delivery & Stakeholder Engagement Own end-to-end delivery for Agentforce initiatives. Partner with Product Owners, Architects, and Customer Success teams. Manage risks, dependencies, and execution roadmaps. Support solutioning, estimations, and POD planning. Governance & Best Practices Define AI governance and guardrail frameworks. Establish DevOps, CI/CD, and release standards. Ensure compliance with Responsible AI and data security policies. Minimum Qualifications 12 years of enterprise software engineering experience. 4 years leading engineering or architecture teams. Deep expertise in Salesforce platform architecture. Hands-on experience with Agentforce / conversational AI / intelligent agents. Experience integrating LLMs and AI services into enterprise applications. Strong knowledge of integration architectures and APIs. Proven experience delivering large-scale enterprise solutions. Preferred Qualifications Salesforce Architect certifications (Application/System/CTA track). Experience with Data Cloud and RAG architectures. ... (truncated, view full listing at source)