Product Deployed Engineer

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 Product 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.

The Customer Engineering team is Salesforce's zero-to-one product hardening function for Service Cloud and Agentforce. We embed senior engineers directly with a small portfolio of selected lighthouse customers — getting Agentforce Service capabilities live in production, fast, and fixing what we find at the product level. Every engagement produces two outputs: a working customer deployment and  product improvements. Blockers are resolved in the codebase, not in bespoke workarounds. Field learnings feed directly into the Agentforce product roadmap. We sit where engineering sits.

Technical depth required. Customer instinct is essential. Be curious. We are hiring a Product Deployed Engineer to embed with lighthouse customers across the full Agentforce Service Cloud portfolio — Help Agent, Voice, NGA/Script, Service Rep Assistant, and Self Service. You will own end-to-end delivery within your customer pod: from initial deployment through production hardening. You will resolve the blockers others cannot, ship fixes into the core product, and turn every field learning into a reusable asset the broader Salesforce ecosystem can deploy at scale. This is not configuration work. This is senior product engineering with a live customer on the other side of every decision.

Embed with selected lighthouse customers across Agentforce Service use cases — Help Agent, Voice, NGA/Script, Service Rep Assistant, Agentic Self Service — and get them live in production. Own technical delivery end-to-end: architecture decisions, agent logic, integration design, deployment, and production validation. Resolve customer blockers at the product level — shipping fixes into the Agentforce codebase, not into one-off customer workarounds. 80%+ of blockers resolved via product code (the two-check-in model). Design and build agentic systems on the Agentforce platform: agent topics and actions, tool calls, multi-agent orchestration, MCP and the integration patterns that hold up in enterprise environments. Own the data lifecycle for each deployment: knowledge readiness, data modeling, pipeline design, and AI readiness. Contribute field learnings, reusable skills, and observability patterns to the Agentforce product team — your work becomes the standard others deploy from. Surface platform gaps and edge cases directly to Product & Engineering. Your real-world production experience is the most credible input to the Agentforce roadmap. Mentor engineers within your pod through code reviews, paired sessions, and shared delivery. Your engineering standards propagate. Operate at 3x engineering productivity — 100% AI-tooled with Cursor, Claude, and Salesforce coding products embedded into every delivery.

Experience & Technical Foundation: 8+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS. Programming Expertise: Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex — and conversant in the others. Full-stack/polyglots who can solve problems regardless of the