Forward Deployed Engineer

Parloa is a leading global AI company with a vision to make every customer interaction as easy as talking to a friend. We amplify the customer service experience with our AI Agent Management Platform. This enterprise-grade platform automates contact centers by leveraging the full power of generative AI safely & reliably in the context of consumer interactions. It combines highly-skilled personal AI agents that engage in natural and unique conversations with every customer, with AI assistance for human agents when they get on the line. Global brands trust Parloa to connect with their customers, ensuring they feel heard through exceptional experiences that increase satisfaction, encourage sales, and build loyalty. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald with offices in Berlin, Munich, and New York.

Your Mission

As a Forward Deployed Engineer (FDE) at Parloa, you will be on the front lines

of AI transformation at the world’s most sophisticated enterprises. You will

implement, integrate, and extend Parloa's platform to meet complex, real-world

customer needs - serving as the embedded technical expert during and after

deployment.

 

This is a high-autonomy, field-facing engineering role where you will work

side-by-side with customer technical teams and internal stakeholders to unlock

rapid adoption and value. You will own the hands-on development work required to

activate customer use cases, from workflow integrations to custom extensions, in

production environments.

 

You Will

• Deploy and integrate Parloa's platform into complex enterprise environments, ensuring successful implementation and real-world impact
• Own system configurations, API integrations, custom code extensions, and performance tuning in customer-specific setups
• Act as a trusted technical partner to customer engineering teams, working collaboratively through ambiguity and unique constraints
• Solve tough problems in real-time; debug, unblock, and optimize field implementations at speed
• Partner with Deployment Strategists and Product teams to ensure feedback loops from the field inform broader platform improvements
• Be on-site with customers during key phases of deployment; travel required up to 25%

Must-have

• Worked in ambiguous environments (e.​g.​ series A+ startups,​ clients with unclear requirements)
• Delivered successful implementations for large enterprise clients (the larger and more complex the clients,​ the better)
• 4+ years of experience as a software,​ implementation,​ or systems integration engineer in a customer-​facing capacity (open to 2+ YOE for exceptional and ambitious candidates)
• Degree in CS,​ Engineering,​ or related technical field (ideally from a top school)
• Hands-​on experience with Python or TypeScript,​ Kubernetes,​ and loud platforms (preferable Azure)
• Strong knowledge of APIs,​ databases,​ CI/CD pipelines,​ and observability tools.​Hands-​on experience developing or deploying AI solutions using LLMs