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Dialpad is an AI platform for customer experience that enables organizations to resolve customer problems in real time across voice and digital channels. The company's AI agents learn from human agents and improve with every interaction, helping organizations understand customers, deliver better experiences, and increase operational efficiency.
As a Forward Deployed Engineer, you will be a customer-embedded delivery engineer responsible for turning qualified AI opportunities into live, production-ready agent deployments. This role sits at the intersection of customer workflow design, applied AI engineering, enterprise integration, and production rollout. Your core mission is to close the last-mile gap between platform capability and measurable customer outcomes by taking shaped opportunities from scoping through implementation and into the first production shift.
You will work directly with customer stakeholders, internal delivery teams, and product partners to design, build, evaluate, deploy, and stabilize AI agents in real operating environments. Key responsibilities include converting prioritized use cases into clear delivery scope and technical plans, mapping real workflows with customer teams, designing and building customer-specific AI agent solutions with orchestration logic and prompt architecture, implementing integrations with customer data sources and enterprise systems, and developing evaluation methods and guardrails to measure agent reliability and production readiness.
This is a highly customer-facing, hands-on role requiring the ability to translate ambiguity into working systems and move fluidly between technical depth and business impact. You will work with market-leading brands including Netflix, Motorola Solutions, and professional sports organizations. The role requires strong technical skills in AI/ML, integration architecture, and workflow design, combined with excellent communication and customer management abilities.
