Forward Deployed Engineer - US
New York, NY$140k - $160kfull-timePosted 3mo ago
About the role
Forward Deployed Engineer (FDE) at Parloa responsible for end-to-end deployment projects in enterprise environments, building and integrating solutions in production, and shaping product through field feedback.
Responsibilities
- Own deployment engineering projects: Lead the technical execution (incl. product engineering) of Parloa’s deployments inside large, complex enterprise environments
- Design for scale and resilience: Architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security
- Engineer solutions where none exist: Build custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements
- Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery
- Partner with enterprise teams: Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes
- Guide and mentor others: Collaborate with and provide technical guidance to more junior in-field engineers
- Influence at senior levels: Engage with enterprise architects and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility
- Debug under pressure: Rapidly unblock issues in mission-critical environments and ensure customer success
- Shape the product: Act as the feedback loop between the field and core engineering teams
- Deliver long-term impact: Ensure scalable architectures and durable customer value in collaboration with Deployment Strategists
Qualifications
- 4+ years of professional experience in software engineering, systems integration, DevOps, or data engineering roles with direct customer impact
- Proven track record of leading deep technical deployments and integrations in large-scale enterprise environments
- Strong technical depth across backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases - with proven experience in systems design and hands-on production work
- Ability to operate independently in ambiguous, high-responsibility settings, especially when deploying live to enterprise systems
- Builder’s mindset with bias for action, creativity under pressure, and practical problem-solving in real-world deployments
- Degree in Computer Science, Engineering, or related technical field
- Strong plus: Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration)
Skills
Required:Software engineeringDevOpsKubernetesAPIsBackend engineering
Last updated Aug 27, 2026. Interested? Apply on the company site.
About Parloa
AI Agent Management Platform for contact centers
Amplify your customer service experience with a team of personal AI agents. Leverage the full power of generative AI for contact center automation.
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