Founding AI Forward Deployed Engineer

Remote (US) | 20–30% travel | Full-time

Say hello to opportunities.

It’s not every day that you consider starting a new career. We’re RingCentral, and we’re happy that someone as talented as you is considering this role. First, a little about us, we’re a $2.6 Billion annual revenue company with double digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center and AI-powered adjacencies. We invest more than $250 million annually to ensure our AI-enabled technology and platforms meet or exceed the needs of our customers.

AIR Pro is RingCentral’s agentic AI platform for enterprise voice and digital customer interactions. The platform enables organizations to automate customer experience conversations with measurable business outcomes. We have thousands of customers already running RingCentral AI products today. That install base is your deployment surface: real production traffic, real contact centers, real revenue on the line from day one.

This is where you and your skills come in. RingCentral is standing up a Forward-Deployed Engineering function. There is no playbook. You will help write it.

This is a builder role. You will spend most of your time inside customer environments shipping production agentic AI systems: designing multi-turn voice and digital agents, building integrations to CRMs, EHRs, and ticketing systems, and instrumenting everything so outcomes are measurable.

You carry direct accountability for containment rates, handle-time reduction, and expansion, and you get the authority that goes with it: a defined escalation path into Product and Engineering, a standing mechanism for roadmap input based on what you hit in the field, and committed engineering support for platform blockers.

You will support pre-sales for your accounts (demos, POCs, technical scoping), and what you learn will shape how we hire, structure, and scale the FDE team. If you want a narrowly scoped lane, this isn't it. If you want to define a function inside a platform with a large enterprise base, it is.

Job Duties:

• Own end to end strategic customer deployments. A focused portfolio, depth over breadth: discovery, workflow analysis (call routing, agent scripts, escalation paths, back-office handoffs), success criteria definition, production deployment, iteration, proven ROI, expansion.

• Build production systems. Multi-turn agent workflows: prompt design, retrieval pipelines, decision logic, fallback handling, live-agent handoff. Integrations to customer systems of record. Guardrails and compliance controls (PII, HIPAA, PCI) fit to each environment.

• Instrument everything. Deploy evaluation, monitoring, and testing frameworks so agent performance is continuously measured and improved. Success criteria are set before deployment, not reverse-engineered after.