Senior/Lead Technical Support Engineer

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. 

As a Lead Technical Support Engineer, you will play a key role in delivering reliable and high-quality customer experiences with Parloa’s conversational AI platform. Acting as a bridge between customers and internal teams, you’ll troubleshoot complex issues, guide users, and ensure they unlock the full value of our product.

This is your opportunity to combine technical depth with customer impact—solving real problems, improving how support operates at scale, and shaping the overall customer experience through insights from the field.

• Technical Support & Troubleshooting: Own and resolve customer issues end-to-end, ensuring timely, high-quality responses and sustainable solutions.
• Escalation Management: Act as an escalation point for complex technical challenges, working closely with Product and Engineering to drive resolution.
• Customer Enablement: Guide and educate customers on the effective use of the platform to help them unlock its full potential.
• Process & Quality Improvement: Contribute to improving support processes, documentation, and best practices to enhance efficiency and consistency.
• Knowledge Management: Create and maintain runbooks, troubleshooting guides, and internal resources to scale team knowledge.
• Customer Feedback Loop: Capture and translate customer insights into actionable feedback for Product and Engineering.

• 5–8 years of experience in a customer-facing technical support role, ideally within SaaS or enterprise technology environments
• Strong troubleshooting skills, with the ability to analyze issues and communicate solutions clearly to both technical and non-technical audiences
• Experience working with APIs, logs, and debugging tools
• Structured, data-informed approach to problem solving, using metrics to prioritize and improve outcomes
• Ability to thrive in fast-paced, evolving environments with a high degree of ownership and adaptability
• Strong collaboration skills and experience working cross-functionally with Product, Engineering, and Customer teams
• Experience coaching or mentoring others, contributing to team development

Talent Acquisition → Hiring Manager → Technical Interview → Bar Raiser

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 to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.