About the Team
The Customer Experience (CX) Product team owns the entire post-booking journey — from the moment a trip is booked through changes, disruptions, refunds, and customer support interactions.
The team builds and operates the systems that enable fast, high-quality support at scale, including customer self-serve experiences within the app and partner-integrated flows, internal agent platforms for efficient human resolution, and a flagship agentic AI platform used both internally and offered as a B2B solution for global travel partners.
Together, these platforms support millions of travelers across chat, voice, web, and third-party channels, powering seamless post-booking experiences worldwide.
About the Role
As a Software Engineer on the CX Platform team, you will design, build, and evolve the core systems behind the company’s post-booking experience. Your work will directly impact customers, internal support agents, and the continued expansion of the AI-driven voice and chat platform.
You’ll collaborate closely with Product, Design, AI, Data, and Operations partners to deliver intelligent, scalable customer service systems — including conversational AI workflows, self-service customer journeys, internal tools used by thousands of agents, and infrastructure that enables partner-specific experiences.
You’ll report to a Senior Engineering Manager and work alongside engineers focused on platform services, integrations, AI orchestration, and self-service UX.
Day-to-Day
- Design, build, and improve backend and/or full-stack systems that power the AI assistant platform, internal agent tools, and customer self-serve flows
- Develop scalable APIs, microservices, and orchestration logic supporting complex post-booking journeys across AI, chat, voice, and web
- Partner with product, design, AI, and operations teams to deliver features that streamline customer experiences and enhance agent efficiency
- Integrate with external systems such as telephony, CRM, identity, or booking platforms to support both internal use cases and partner deployments
- Own features end-to-end — from technical design through implementation, testing, deployment, monitoring, and iteration
- Contribute to architectural decisions, code reviews, reliability improvements, and ongoing enhancements to engineering best practices
- Analyze system performance and user behavior to identify opportunities for automation, optimization, and cost reduction
Minimum Qualifications
- 3+ years of experience in software engineering, ideally building large-scale distributed systems or customer-facing applications
- Strong technical background with modern frontend and backend development, distributed systems, APIs, and cloud infrastructure
- Experience designing, building, and maintaining RESTful APIs, microservices, or event-driven systems
- Experience with databases (PostgreSQL, MySQL, NoSQL) and cloud platforms (AWS, GCP, or similar)
- Ability to break down complex problems, make pragmatic tradeoffs, and ship iteratively
- Strong communication skills and comfort collaborating with cross-functional teams
- Hands-on experience with AI coding tools and a demonstrated ability to integrate them effectively into your workflow
Preferred Qualifications
- Experience with conversational AI, LLM orchestration, or automation systems
- Experience building AI-first products (not just using AI as tooling)
- Experience building customer service, CRM, telephony, contact center, or workflow automation tools
- Familiarity with Scala/Python, React, TypeScript, or modern frontend frameworks
- Experience integrating with external systems (telephony APIs, identity providers, payment gateways, CRMs)
- Knowledge of travel industry technologies (PSS/GDS, hotel PMS/CRS) is a plus