Senior Solution Consultant (Presales)
We are looking for a Senior Solution Consultant (Presales) to own the solution cycle end to end, from gathering customer requirements and designing the solution, through the technical proposal and BoQ, to presenting and winning the deal alongside the sales team.
You will work with the AI Contact Center solutions and AI Enterprise Digital Platform solutions we build in-house, together with world-class partner platforms from Genesys, Zoom, Bytedance (Lark), Tencent, and SenseTime, serving large enterprise customers across telecommunications, financial services, retail, aviation, and government sectors.
Responsibilities
1. Requirement Gathering & Analysis
Lead requirement workshops and site visits with the customer's business and IT stakeholders.
Separate what the customer asks for from the underlying business problem, and challenge requirements that are incomplete, contradictory, or not achievable.
Analyse the customer's existing systems, integration points, data sources, and security/compliance constraints.
Analyse TOR/RFP/RFQ documents, build compliance matrices, and draft clarification questions.
2. Solution Design
Design end-to-end solutions covering architecture, integration, sizing, licensing, and delivery approach.
Design first on SKY AI's own products, complemented by partner products where appropriate.
State clearly which requirements are met by product, which by customisation, and which cannot be met, including the gap and workaround.
Design integration with the customer's digital core systems such as CRM, ERP, HRMS, etc.
Review solution designs produced by junior consultants before they reach the customer, and feed customer-driven requirements back to the product team.
3. Proposal, BoQ & Costing
Own the technical proposal end-to-end — solution description, architecture diagrams, scope of work, deliverables, assumptions and project timeline
Prepare the BoQ / BoM covering hardware, software licence, subscription, implementation man-days, training and maintenance (MA)
Request and compare vendor / partner quotations
Prepare the cost sheet and hand it to the Sales Officer assigned to the project
Handle the technical clarification round after submission, and hand the won deal to the Delivery / PM team with complete documentation
4. Presentation, Demo & POC
Present solutions and products to audiences ranging from operational users to C-level executives, adjusting depth and language accordingly.
Build and deliver product demos, both standard and tailored to the customer's own scenarios and data.
Plan and run POCs/pilots:
Define success criteria with the customer.
Run the test.
Report results.
5. Continuous Learning & Collaboration
Self-learn new products and technologies to a demo-capable level without waiting for formal training.
Track developments in AI, contact center, and collaboration technology (LLM, Agentic AI, CCaaS, WFO, eKYC, collaboration & digital workplace) and assess their relevance to our offerings.
Work with Sales, Product, Delivery/PM, and Support teams throughout the full opportunity lifecycle.
Manage technical relationships with partners and principals.
Coach and transfer knowledge to junior solution consultants.
Product Scope
Our Own Products
AI Contact Center — AI Agent Assistant, AI Voicebot / AI Chatbot, AI QM (Quality Management), AI KB (Knowledge Base)
Aviation Ground Handling Solutions — Rostering System, Operation Dashboard (OCC)
Partner Products
Genesys Cloud — CCaaS (routing, IVR, digital channels, WEM, reporting, API)
Zoom — Zoom Phone, Zoom Contact Center
Bytedance (Lark) — Collaboration tool / digital workplace (messenger, docs, base, approval & workflow)
Tencent — Tencent Cloud, Video Call, Voicebot
SenseTime — eKYC (face verification, liveness / PAD, OCR)
Qualifications
Education
Bachelor's degree or higher in Computer Engineering, Computer Science, Information Technology, Telecommunications Engineering or a related field
Strong equivalent experience may be considered in place of the degree requirement
Experience
Minimum 5 years in IT solutions, including at least 3 years in presales / solution consulting / solution architecture
Experience in contact center, customer engagement, collaboration tool / digital workplace, enterprise software, or AI / automation solutions
Has personally owned technical proposals and BoQ for projects, and defended them before a customer evaluation committee
Experience with Thai enterprise and/or public-sector procurement (TOR / RFP / RFQ / e-bidding) is an advantage
Experience with Genesys, Zoom, Verint, SenseTime, Tencent, Lark or comparable CCaaS / WFO / eKYC / collaboration platforms is an advantage
Required Technical Knowledge (Meet at least two of the following)
Contact center architecture — routing, IVR, omnichannel, CTI, call recording, WFM / QM
Well-versed in enterprise collaboration platforms and digital office SaaS products
Deployment models — SaaS / public cloud / on-premise / hybrid, and their commercial and security implications
Applied AI concepts for the enterprise — LLM, RAG / knowledge grounding, agentic AI, ASR / TTS, NLU, and the practical limits of each
Sizing and licensing logic — concurrent vs. named user, transaction / consumptionbased pricing, MA and subscription models
Solution documentation — architecture diagrams, SOW, compliance matrix, BoQ / BoM, cost sheet
Advantageous Knowledge
Scripting or low-code configuration (Python, JavaScript, flow designers)
Aviation ground handling or airline operations domain knowledge
Vendor certifications such as Genesys, Zoom, Verint, AWS / Azure / GCP, Lark
Language
Thai — excellent. Able to present, write formal proposals and negotiate technical points in Thai
English — good. Able to read vendor technical documentation, meet with overseas partners and write proposals in English
Personal Attributes
Fast learner and self-starter — reaches demo-capable level on a new product within weeks, from documentation and hands-on trial
Structured communicator — explains technical matters to non-technical audiences, and business constraints to technical audiences
Confident presenter — handles challenging questions and C-level scrutiny
Resilient under pressure — handles parallel bids and shifting requirements without dropping quality