Forward Deployed Engineer - US
$140k - $160k • New York Office
Posted 1mo ago
About the job
As a Forward Deployed Engineer (FDE) at Parloa, you will be at the forefront of enterprise AI adoption, delivering cutting-edge technology into complex environments. Your primary mission is to lead end-to-end deployment projects from an engineering perspective, not just implementing existing solutions but engineering what's necessary for success at an enterprise scale. You will act as an in-field product engineer, building novel solutions, adapting architectures to enterprise realities, and engineering integrations across systems and APIs. Your work is hands-on and code-first, directly impacting how customers experience Parloa and shaping the future of the product.
Responsibilities
- Lead technical execution of deployment projects in large, complex enterprise environments.
- Architect deployment solutions for enterprise-grade performance, reliability, and security.
- Build custom extensions, integrations, and configurations to meet enterprise requirements.
- Operate at the intersection of backend engineering, DevOps, and data engineering.
- Collaborate with customer engineering organizations to overcome constraints and deliver outcomes.
- Provide technical guidance to more junior in-field engineers.
- Engage with enterprise architects and senior technical stakeholders on solutions and architectures.
- Debug issues in mission-critical environments under pressure.
- Act as a feedback loop to core engineering teams, translating deployment learnings into product evolution.
- Ensure scalable architectures and durable customer value in collaboration with Deployment Strategists.
Requirements
- 4+ years of professional experience in software engineering, systems integration, DevOps, or data engineering with customer impact.
- Proven track record of leading technical deployments and integrations in large-scale enterprise environments.
- Strong technical depth in backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases.
- Experience with systems design and hands-on production system work.
- Ability to operate independently in ambiguous, high-responsibility settings.
- Builder's mindset with a bias for action, creativity under pressure, and a focus on real-world solutions.
- Degree in Computer Science, Engineering, or a related technical field.
- Experience building or integrating AI/LLM-powered systems is a strong plus.