Forward Deployed Engineer
Parloa is an enterprise AI company providing an AI Agent Management Platform (AMP) for customer service and contact centers.
Funding history
About Parloa
Parloa builds AI agents and its AMP platform to help enterprises design, test, manage, and scale customer-service conversations.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the technical execution of enterprise deployments, design resilient architectures, and build custom extensions, integrations, and configurations. You will work across backend engineering, DevOps, and data engineering, debug production issues, guide junior engineers, and turn deployment learnings into platform improvements.
Requirements
- 4+ years of professional experience in software engineering, systems integration, DevOps, or data engineering with direct customer impact
- Experience leading technical deployments and integrations in large-scale enterprise environments
- Technical depth in backend engineering, infrastructure as code, Kubernetes or cloud platforms, APIs, and databases
- Systems design experience and ability to work hands-on in production systems
- Ability to work independently in ambiguous, high-responsibility settings
- Degree in Computer Science, Engineering, or a related technical field
Responsibilities
- Lead deployment engineering projects in complex enterprise environments
- Architect scalable, resilient, secure deployment solutions
- Build custom extensions, integrations, and configurations
- Work across backend engineering, DevOps, and data engineering
- Collaborate with customer engineering organizations to deliver outcomes
- Provide technical guidance to junior in-field engineers
- Engage enterprise architects and senior technical stakeholders
- Debug mission-critical production issues
- Translate deployment learnings into platform evolution
- Work with Deployment Strategists on scalable architectures and durable customer value
Hiring Process
TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser