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 Software Engineering 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. About the Role The Product Forward Deployed Engineering (FDE) team is Salesforce's zero-to-one engine for new agentic product innovation. We embed directly with our most strategic customers to validate emerging AI capabilities, harden the platform under real-world conditions, and transform every field insight into repeatable patterns that shape the product roadmap. Most technical roles ask you to implement what already exists. This role asks you to define what comes next. You'll work with AI features before they're named, solve problems before there are playbooks, and build the artifacts that the rest of the field will use for years. Your work doesn't just help one customer — it hardens the agentic platform for every customer that comes after. The ideal candidate brings high agency and self-motivation to ambiguous, high-stakes environments. You thrive when there's no established answer, move fast without losing rigor, and treat every customer engagement as a learning opportunity that makes the platform better for everyone. You're endlessly curious, quick to adapt, and energized by problems that haven't been solved yet. Your Impact Research & Field Validation Deploy and stress-test pilot features with customers, identifying platform gaps and feeding structured findings back to Technology & Product Conduct feasibility research on novel use cases — determining what's possible, what's not, and what needs to change in the product to get there Co-develop hypotheses with Technology & Product and design experiments to validate them in the field Document and escalate critical engineering issues with detailed evidence packages to accelerate resolution Customer Engagement Lead technical engagement of new products and features Embed directly with customer teams to deeply understand their operational environment and architect solutions that solve real problems at scale Run rapid prototyping and POC cycles to validate technical feasibility Serve as the primary technical advisor and escalation point for your customer portfolio Product Acceleration & Feedback Build reusable accelerators, playbooks, and reference architectures that address critical product gaps and directly shape the agentic platform roadmap Partner directly with Product Managers and Engineers to influence roadmap priorities based on evidence captured directly from customers Represent the voice of the customer in internal product discussions and planning cycles Analyze competitive landscape to identify and validate Salesforce's key differentiators — informing both field engagements and product feedback loops Produce thought leadership, best practices, and enablement content that raises the bar for new product releases across the Salesforce community Required Qualifications 3 + years of hands-on engagement in enterprise software or SaaS environments, with a strong foundation in Salesforce development. Exposure to generative AI, RAG, or conversational AI implementations. Advanced proficiency in Apex, Lightning Web Components, Lightning Flows , JavaScript. Deep understanding of Salesforce platform architecture including data modeling, security, and sharing frameworks. Strong understanding of object-oriented programming and software design principles. Experience implementing DevOps practices including Salesforce DX, Git, and CI/CD pipelines. Expertise in automated testing frameworks including Apex unit testing and API testing tools. Proven ability to debug complex, multi-system technical issues. Deep expertise in Sales Cloud & Service Cloud Agentforce delivery: Experience in at least 1 Agentforce/AI implementation Project. Understanding of agent security and guardrails implementation, including role-based access, prompt safety constraints, and data exposure controls. Experience supporting agent deployment, testing, and release management, including functional testing, grounding validation, and regression testing across environments. Ability to troubleshoot agent behaviors including hallucinations, grounding gaps, orchestration failures, and integration errors. Familiarity with monitoring agent performance, refining prompts, and optimizing response quali