
201 - 500 employees
Founded 2002
💼 Consulting
🛡️ Insurance
✈️ Travel
Consulting • Insurance • Travel
Omilia is a leader in Conversational AI, specializing in voice and chat solutions that enable natural, end-to-end customer interactions. Their Omilia Cloud Platform provides advanced AI-driven customer service tools, including real-time agent assistance, voice biometrics for fraud prevention, and data analytics to enhance customer insights. Serving industries such as finance, insurance, retail, automotive, and travel, Omilia focuses on automating customer service while ensuring a secure and personalized experience.
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201 - 500 employees
Founded 2002
💼 Consulting
🛡️ Insurance
✈️ Travel
Consulting • Insurance • Travel
Omilia is a leader in Conversational AI, specializing in voice and chat solutions that enable natural, end-to-end customer interactions. Their Omilia Cloud Platform provides advanced AI-driven customer service tools, including real-time agent assistance, voice biometrics for fraud prevention, and data analytics to enhance customer insights. Serving industries such as finance, insurance, retail, automotive, and travel, Omilia focuses on automating customer service while ensuring a secure and personalized experience.
• Own the technical pre-sales process for assigned enterprise opportunities in ANZ, from discovery through proof-of-concept and proposal • Ensure the technical quality and accuracy of solution designs, demonstrations, and proposals for ANZ enterprise prospects • Build trusted technical advisor relationships with prospective client technical and business stakeholders across ANZ • Translate prospect technical requirements into product feedback for Engineering and Product teams • Lead technical discovery covering contact centre architecture, integration landscape, and conversational AI requirements • Design and deliver customised demonstrations, proof-of-concepts, and solution prototypes • Develop technical sections of RFP/RFI responses, proposals, and SOW documents • Build and maintain demo environments, scripts, and technical assets for the pre-sales library • Partner with ANZ Account Executives to develop win strategies and identify technical champions • Respond to technical due diligence, security questionnaires, and architecture reviews • Provide feedback to Product and Engineering on enterprise prospect requirements and competitive gaps • Support customer-facing events, webinars, and industry conferences with technical presentations • Hand over from sales to deployment and support the delivery team
• 5–8 years of experience in pre-sales, solutions engineering, or technical consulting for enterprise SaaS or AI platforms • Deep familiarity with contact centre technology, CCaaS platforms (Genesys, Avaya, NICE, Cisco, etc.), and telephony architecture • Experience with conversational AI, NLU/NLP, IVR, or voice automation technologies • Ability to prototype and demonstrate solutions in a live technical environment • Strong understanding of enterprise integration patterns (APIs, REST, SIP, WebRTC) • Excellent presentation and technical communication skills — able to translate complex AI concepts for non-technical stakeholders • Consultative mindset — listens first, then designs solutions • Collaborative partner to Sales and capable of navigating complex internal and external stakeholder dynamics • Curious and self-driven — keeps pace with rapidly evolving AI capabilities • Comfortable with ambiguity and complex, long-cycle enterprise sales environments • Bachelor's degree in Computer Science, Engineering, or a related technical field • Fluency in English required; additional languages a strong advantage • Prior experience supporting enterprise sales cycles in Australia and/or New Zealand (nice to have) • Hands-on experience with major CCaaS platforms such as AWS Connect, Genesys Cloud, NICE CXone, or RingCentral (nice to have) • Familiarity with Omilia's platform or competing conversational AI platforms (nice to have) • Domain expertise in Banking, Insurance, Utilities, Healthcare, or Telco (nice to have)
• Competitive compensation • Long-term employment with the working days vacation • Development in professional growth (courses, training, etc) • Being part of successful cutting-edge technology products that are making a global impact in the service industry • Proficient and fun-to-work-with colleagues • Apple gear • Equal opportunity and diverse, inclusive workplace
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