Forward Deployed Engineer

As a Forward Deployment Engineer, you'll work directly with enterprise customers to turn complex business processes into reliable, AI-powered automations. You'll own deployments from initial discovery through production, understanding how a customer operates, breaking down complex workflows, designing and configuring AI agents, engineering prompts, coordinating integrations, and iterating on systems once they are live.

What you'll do

• Own AI deployments end-to-end, from understanding customer requirements and mapping workflows through solution design, implementation, testing, and production deployment.
• Work directly with customers to understand their business processes, identify high-value automation opportunities, and translate those problems into practical AI agent solutions.
• Design and build agentic workflows using Beam's Agent OS, including workflow decomposition, agent configuration, prompt engineering, testing, and optimization.
• Build and manage integrations with customer systems, working with APIs and client-side technical teams to connect agents into existing workflows.
• Manage delivery across multiple stakeholders, keeping projects on track while communicating clearly with both technical teams and executive stakeholders.
• Partner closely with product, engineering, and ML teams to surface platform gaps, scope improvements, and turn customer needs into product capabilities.
• Bring customer insights back to Beam, using real deployment experience to improve our platform, workflows, and best practices.

What you'll need

• 2-3 years in a client-facing technical role such as Forward Deployed Engineer, Implementation Consultant, Deployment Engineer, Customer Engineer, or similar.
• Strong project management and communication skills. You can run delivery timelines, manage client expectations, and explain technical concepts clearly to both engineers and executives.
• Demonstrated prompt engineering expertise. You've systematically written, tested, and optimized prompts in production or near-production settings.
• Solid API knowledge and integration experience. You're comfortable scoping and coordinating API-based integrations with external systems.
• Analytical, process-driven thinking. You can take a messy business workflow, break it into structured components, and design an automation approach.

Nice to have

• Background in AI/ML or hands-on experience applying AI to business workflows.
• Experience working in a fast-paced startup environment.

What they offer

• Competitive compensation and benefits.
• Equity.
• Flexible working arrangements and work-from-anywhere.
• Parental leave.