Senior Forward Deployed Engineer - Partner Success

About the role

As a Senior Forward Deployed Engineer - Partner Success at Parloa, you will play a key role in scaling how we deliver AI Agents through our partner ecosystem. You'll be on the front lines of enterprise AI adoption - delivering cutting-edge technology into some of the most complex environments in the world. Your mission: lead end-to-end deployment projects from an engineering perspective - not just implementing what exists, but engineering what's required to make it succeed at enterprise scale.

What you'll do

• Co-lead the technical execution and design of Parloa's deployments inside large, complex enterprise environments alongside our partners
• Educate and enable partners on what's possible with Parloa's platform, including capabilities, limitations, trade-offs, and best practice AI Agent architectures
• Architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security
• Build custom extensions, integrations, and configurations to close product gaps and meet enterprise partner requirements
• Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery
• Collaborate directly with customer and partner engineering organizations to overcome constraints and deliver measurable outcomes
• Engage with enterprise architects, partner architects, and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility
• Rapidly unblock issues in mission-critical environments and ensure customer and partner success

What you'll need

• 5+ 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 the ability to go hands-on in production systems
• Ability to operate independently in ambiguous, high-responsibility settings, especially when deploying live to enterprise systems
• A builder's mindset with bias for action, creativity under pressure, and an obsession with making things work in the real world
• Degree in Computer Science, Engineering, or related technical field

Nice to have

• Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration)

What they offer

• Work on agentic AI technology shaping the future of enterprise customer experience
• Direct impact on deployments at companies like Booking.com, HealthEquity, Allianz, SAP, and TUI
• Backed by leading global investors including General Catalyst, EQT Ventures, and Altimeter Capital