VEXERE ★ 3.6

Vexere: Revolutionizing Travel and Transportation in Vietnam

We are a Vietnamese technology company aiming to revolutionize the travel and transportation industry. As the largest online bus ticketing platform in Vietnam, we help millions of travelers make unforgettable journeys. Recently we expanded to airlines, trains, and vehicle rentals in order to provide our customers with the best options for their travel plans.

Vexere’s Culture:
Vexere members believe our organization exists to solve pressing societal problems. Our company culture emphasizes community spirit, mutual support, and open communication. We encourage all members to express ourselves, contribute ideas on products and strategies, and strive to become future leaders.

Vexere’s Vision:
Vexere aspires to be a constantly growing and innovative business. We foster a strong culture of learning and development, aiming to leverage our technological strengths to continue revolutionizing the transportation and tourism sectors across Southeast Asia.

We are rebuilding every customer and employee touch-point as an AI-native experience. That ranges from booking a flight/bus/train seat to automating sale processes or leave requests. Engineers here get clear goals, full context, and the freedom to ship quickly while keeping reliability and safety paramount.

Drive the roadmap that turns our AI vision into real impact for millions of travellers and every internal team.

Why we need you

We’re transforming into an AI-native company and standing up this brand-new team. Brilliant engineers are already fine-tuning LLMs and wiring automations, but we need a product leader who can convert that technical horsepower into clear, measurable outcomes. You’ll balance urgent CX wins against long-term platform scale, give every department a voice, and keep the backlog laser-focused instead of bloated.

Responsibilies:

What you will own

Product vision and strategy

Craft and continuously refine a 12-month roadmap for the AI Platform & Automation team that aligns with company OKRs, from customer self-service containment targets to internal cost-savings goals.
Translate high-level goals (e.g., “reduce refund handling time by 50 %”) into concrete epics for chat, voice, and multi-agent workflows.

Backlog and execution

Maintain and prioritise a single backlog covering chatbot features, multi-agent framework upgrades, and new n8n automation requests.
Write crisp user stories with acceptance criteria and success metrics; review and sign off on demos every sprint.
Make data-driven trade-offs between speed, accuracy, governance, and cost.

Stakeholder management

• Act as the main point of contact for CX, Operations, HR, Finance, and IT. Gather requirements, run discovery workshops, and keep everyone informed through release notes and KPI dashboards.
• Evangelise platform capabilities so departments propose high-ROI automation ideas instead of one-off solutions.

User experience and quality

• Partner with Conversation Designers to ensure chat and voice interactions stay on-brand in Vietnamese, English, and other languages.
• Define and monitor product KPIs such as containment rate, CSAT delta, automation adoption, and ROI. Trigger iteration cycles when metrics slip.

Governance and compliance

• Work with AI Governance and Legal to make sure new features meet privacy, bias, and safety standards.
• Own the go/no-go checklist for model releases and n8n flow promotions to production.

Release and adoption

• Coordinate cross-functional launches; build enablement materials so agents, managers, and end-users actually adopt the new AI capabilities.
• Collect feedback post-launch and feed it back into the roadmap.
• What success looks like after 12 months
• 90 % customer-chat containment on top 50 intents across bus, flight, train, and vehicle-rental verticals.
• ≥ 30 % reduction in manual tickets for at least three internal departments through n8n automations.
• A single, transparent KPI dashboard that every exec uses to track AI ROI.
• Backlog grooming cadence so the engineering team never wonders “what’s next?”