
201 - 500 employees
💰 Series B on 2024-04
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.
🕒 April 15
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201 - 500 employees
💰 Series B on 2024-04
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.
• Own telephony integration projects: Lead the technical execution of VoIP/SIP connectivity for enterprise customers and partners (PoCs through production). • Design reliable call paths: Architect integrations via SIP trunking providers, direct trunks, or enterprise telephony infrastructure—balancing latency, reliability, and security constraints. • Debug complex issues end-to-end: Troubleshoot signaling and media problems (e.g., routing, codecs, DTMF, call transfers, failover), using logs and network traces to find root cause fast. • Navigate enterprise constraints: Propose connectivity options when customers have strict firewall policies, limited exposed ports, or regulatory/security requirements. • Partner deeply with customer engineers: Work directly with telecom, network, and platform teams to align architectures, test plans, and operational procedures. • Support partner enablement: Help telephony partners integrate with Parloa, resolve escalations, and improve repeatability through patterns, tooling, and documentation. • Engineer pragmatic solutions: Build small utilities, scripts, or lightweight services when needed to validate assumptions, automate diagnostics, or close integration gaps. • Raise the bar on reliability: Define best practices for NAT traversal, resiliency, monitoring, and incident response in telephony-connected deployments. • Shape the product: Translate field learnings into clear feedback for core engineering—turning recurring integration pain into platform improvements.
• 5+ years of professional experience in VoIP/telephony engineering, SIP integrations, telecom consulting, or adjacent roles with direct customer impact. • Strong hands-on expertise with SIP-based integrations, call routing concepts, and real-world troubleshooting across networks and enterprise environments. • Solid understanding of signaling vs. media flows, common failure modes, and diagnostic approaches (logs, SIP traces, packet captures). • Practical experience working with SIP trunking providers, SBCs, enterprise PBX/contact center setups, or similar telecom infrastructure. • Comfort operating in ambiguous, high-responsibility situations—able to own issues end-to-end and drive them to resolution with multiple stakeholders. • Ability to communicate clearly with both engineers and non-telephony stakeholders, turning complex call-flow topics into actionable decisions. • Builder mindset: you don’t just explain problems—you design the fix, validate it, and make it repeatable. • Degree in Computer Science, Engineering, or a related field (or equivalent practical experience). • Strong plus: Cloud-native experience (especially Azure), Kubernetes environments, and/or building integration tooling in a scripting or backend language.
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