Lead Member of Technical Staff

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Software Engineering

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.

Agents and AI are fast evolving technologies. The Agentic Selling Team within Digital Experience Technology is building production AI agents that revolutionize how Salesforce’s global sales organization operates. As Customer Zero for Agentforce, we lead the industry in agent development, pioneering architectural patterns that shape Agentforce products and define the future of enterprise AI agents.

• Architect and lead development of sophisticated agent systems using Agentforce, Agent Script, and New Graph Architecture (NGA) serving 15,000+ users with enterprise-grade reliability
• Drive technical strategy for the Sales Agent platform including agent memory architecture, RAG patterns, LLM optimization, multi-agent orchestration, and agent-to-agent communication protocols
• Lead Customer Zero initiatives working directly with Agentforce platform and product teams to validate new capabilities, provide architectural feedback, and influence product roadmaps
• Design and build production AI agents handling complex Seller use cases
• Architect and execute critical platform migrations (Graph to Agent Script, legacy to NGA, Java to Python agents) maintaining zero downtime for production systems
• Establish agent observability and quality frameworks including monitoring, analytics, debugging tools, conversation quality metrics, and user satisfaction tracking
• Drive innovation in agent memory systems, retrieval augmentation techniques, prompt optimization strategies, and LLM fine-tuning approaches
• Lead technical decision‑making on system architecture, technology selection, performance optimization, and scalability strategies
• Mentor SMTS and MTS engineers through technical guidance, architecture reviews, and career development
• Make critical design decisions balancing innovation, reliability, scalability, cost efficiency, and time‑to‑market
• Lead architecture reviews, design sessions, and technical roadmap planning with cross‑functional stakeholders
• Establish Agentic Engineering best practices, code quality standards, testing frameworks, and deployment strategies for agent development
• Build highly scalable, efficient components on microservice multi‑tenant SaaS cloud environment with focus on performance, reliability, and operational excellence
• Drive end‑to‑end ownership of major technical initiatives from conception through production delivery and ongoing optimization
• Partner with product management, enterprise architects, data science teams, R&D Centers and business leaders to align technical strategy with business objectives
• Represent technical team in executive forums, steering committees, and cross‑organizational planning sessions

• 8+ years of development experience as a software engineer with 5+ years in technical leadership roles
• Expert‑level experience with backend development in Java, Python, or multiple object‑oriented compiled, statically‑typed languages (C++, C#)
• Deep expertise in AI/ML frameworks with extensive hands‑on experience architecting and deploying large language model systems (OpenAI, Anthropic, Claude, Gemini, Llama, etc.)
• Proven track record building production agent systems, conversational AI platforms, or multi‑agent orchestration frameworks (Agentforce experience highly preferred)
• 3+ years of hands‑on experience with prompt engineering, RAG architectures, agent memory systems, and optimizing LLM performance at scale
• Expert knowledge of cloud infrastructure (AWS, GCP, Azure, Heroku) with experience designing and operating large‑scale…