Senior Forward Deployed Engineer - Partner Success - US

About Parloa Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com , HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.  About the role: As a Senior Forward Deployed Engineer - Partner Success (SFDE) 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. FDEs are our in-field product engineers. You will adapt architecture to enterprise realities and engineer integrations across systems and APIs to make partner deployments successful. Your work is both hands-on and in a consulting role - you’ll be building, debugging, and architecting solutions directly in the field with our partners. What you ship not only makes deployments succeed, it also defines how partners and customers experience Parloa and shapes what our product becomes. With this role sitting in our Partner domain, this is a highly consultative, partner-facing role at the intersection of Solution Engineering, architecture, consulting, and hands-on engineering. You will work closely with partners and their customers to design, shape, guide, and build AI Agent implementations, ensuring successful outcomes while enabling partners to independently execute over time.  Areas of ownership: Co-Lead deployment engineering projects: Co-lead the technical execution and design of Parloa’s deployments inside large, complex enterprise environments alongside our partners Partner Enablement: Educate and enable partners on what’s possible with Parloa’s platform, including capabilities, limitations, trade-offs, and best practice AI Agent architectures 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 partner requirements Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery Collaboration with enterprise teams: Collaborate directly with customer and partner engineering organizations to overcome constraints and deliver measurable outcomes Influence at senior levels: Engage with enterprise architects, partner 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 and partner success. Our Technology Stack: TypeScript, Node.js, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP Who you are: 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 Strong plus : Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration) Our recruiting process: TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser Salary ranges include OTE Why Parloa? We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here t