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Hopper Logo Hopper · IT - Software Development

Forward Deployed Engineer, HTS Assist

· Job Posted February 21, 2026
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Job Description

The Forward Deployed Engineer plays a pivotal role in deploying, customizing, and optimizing Hopper’s HTS Assist, our agentic AI voice and chat assistant for travel. This role ensures the HTS Assist delivers seamless automated service experiences across partners. As a Forward Deployed Engineer, you’ll combine engineering depth with customer-facing collaboration. You’ll embed directly with partners to design, implement, and iterate on AI-driven service automation, from API integration across telephony, CRM, travel supply systems and orchestration to LLM prompt design, testing, and ongoing optimization, while providing data-driven insights and testing support to continuously improve performance and reliability. This role bridges applied AI engineering, field deployment, and partner co-creation, helping Hopper scale the next generation of autonomous service technology for the travel industry. It also plays a key part in Hopper’s broader mission to scale the HTS Assist ecosystem; ensuring reliable, responsible, and partner-centric AI automation at every stage of deployment.

Job Responsibility

  • Configure and maintain HTS Assist deployments across partner environments, including conversational flows, LLM prompt management, and system orchestration
  • Conduct user acceptance testing (UAT) and regression QA for voice/chat bots, measuring and tracking accuracy, latency, and overall conversational quality
  • Monitor operational health through analytics and logging tools
  • identify issues and coordinate fixes with Product and Core Engineering
  • Contribute to design of self-serve configuration capabilities for partners as HTS Assist evolves
  • Support both technical and operational enablement and onboarding for new partner integrations, including telephony (e.g., Twilio, Amazon Connect, Genesys, Five9, Avaya), CRM/ticketing systems (Salesforce, Zendesk, ServiceNow) and travel inventory platforms (PMS, GDS, CRS, etc.)
  • Work hands-on with partner engineers to implement and validate HTS Assist capabilities and best practices
  • Maintain strong relationships with both external and internal stakeholders to ensure satisfaction, adoption, and continuous improvement of deployed solutions
  • Define and track Assist performance metrics including conversation accuracy, escalation frequency, latency, and adherence to partner policies
  • Design experiments and analyze conversation data to improve HTS Assist outcomes, leveraging SQL, Python, and other data tools to identify trends and performance gaps
  • Partner with Engineering to define, implement and refine quality metrics for HTS Assist, including accuracy, escalation rate, and response effectiveness
  • Contribute to prompt engineering and test new conversational behaviors to ensure the assistant meets partner brand tone and customer expectations
  • Understand and document how telephony, CRM, and AI components interconnect
  • proactively identify risks or opportunities for workflow optimization
  • Build and maintain automation scripts and deployed tools to streamline implementation and monitoring processes
  • Ensure robust data governance, version control, and documentation for all integrations and configurations
  • Serve as an operational liaison between Product, AI Engineering and operational teams to align product enhancements with operational needs
  • Act as an incident manager when outages or performance issues arise, ensuring swift triage, communication, and resolution
  • Support roadmap planning with data-backed insights into feature adoption, partner feedback, and operational pain points

Requirements

  • Hands-on experience with APIs, JSON, SQL, and Python for data manipulation, workflow validation, and automation using frameworks such as Postman or Airflow
  • Understanding of LLM-based systems, prompt design, and conversational AI testing methodologies
  • Familiarity with voice synthesis and ASR technologies (e.g., ElevenLabs, Whisper, Deepgram, OpenAI Realtime)
  • Knowledge of cloud telephony / CPaaS providers (e.g., Twilio, Amazon Connect, Genesys, Avaya, Five9)
  • Experience with CRM and ticketing systems (Salesforce, Zendesk, or equivalent) and their connection to voice/chat workflows
  • Bias for action and drive to work autonomously, taking initiative to research problems, find solutions, and communicate with stakeholders
  • Ability to clarify, analyze, and investigate operational needs, identify potential roadblocks, and develop viable, cost-effective solutions
  • Exceptional ability to grasp, manage, and articulate complex systems
  • Excellent judgment
  • ability to ask smart questions and make quick, impactful decisions
  • High level of curiosity, operational awareness, exceptional attention to detail, and a broad understanding of contact centers, live support tool operations, and both user and agent behaviors
  • Strong organizational and prioritization skills to manage multiple projects or tasks of varying complexity while meeting deadlines and performing well under pressure
  • Fluent in customer service metrics, SLAs, and support health indicators
  • Passionate about delivering excellent service and customer outcomes, demonstrating care for both partner success and end-customer satisfaction in every interaction and system design
  • Resilient attitude
  • ability to adapt quickly to change and maintain composure in dynamic environments
  • Excellent written and verbal communication skills in English
  • Excellent communication and stakeholder-management skills across technical and non-technical audiences
  • Customer, team, and company player, taking on delegated tasks with enthusiasm toward the greater good of the company
  • A passion for Hopper’s mission to build the most customer-centric travel marketplace

Nice to have

  • Experience in a Forward Deployed, Solutions Engineering, or Applied AI implementation role is highly preferred
  • Proficiency with operational tools such as Jira, Confluence, Amplitude, Datadog, and Google Sheets
  • Technical and operational awareness of the travel technology ecosystem, including reservation and booking systems (e.g., GDSs such as Amadeus, Sabre, Travelport), hotel PMS/CRS platforms, and OTA partner APIs for flights, hotels, and ancillary products
  • Deep subject matter expertise in customer service operations and product ecosystems
  • Experience implementing and maintaining complex contact routing, IVRs, skillset libraries, and customer journey flows using technologies such as NICE IEX, Amazon Connect, and Kustomer
  • Prior experience with AI chatbot/voicebot operations and/or B2B SaaS integrations
  • Demonstrated ability to manage complex partner integrations from kickoff through steady-state support
  • Experience translating technical performance metrics into actionable recommendations for partners or internal teams
  • Ability to effectively influence stakeholders by creating compelling data visualizations that communicate complex insights clearly and impactfully
  • Exposure to data analytics and visualization tools (Amplitude, Datadog, Looker, or equivalent)
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