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企业解决方案顾问 - ANZ

Solution Enterprise Consultant - ANZ

开发工程市场运营限定地区(需当地身份)
公司Omilia
薪资未公开
工作地点Australia
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间13 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 Australia 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

解决方案企业顾问(ANZ)是高级售前技术专家,负责在澳大利亚和新西兰(ANZ)以及必要时在亚太地区(APAC)向企业客户展示、设计并验证Omilia的对话式AI平台。该职位与覆盖ANZ地区的的企业客户经理紧密合作,通过深入了解客户需求并设计具有说服力且技术严谨的解决方案来赢得复杂交易。该职位还负责确保销售到交付的顺利交接,并支持交付团队。

职责

  • 负责ANZ地区指定企业机会的售前技术流程,从发现阶段到概念验证和提案。
  • 对所有呈现给ANZ企业客户的解决方案设计、演示和提案的技术质量和准确性负责。
  • 负责在ANZ地区与潜在客户的IT和技术业务利益相关者建立可信赖的技术顾问关系。
  • 作为内部客户的声音——将潜在客户的技朮需求转化为对工程和产品团队的产品反馈。

主要职责

  • 与ANZ企业客户进行技术发现,了解其客服架构、集成环境和对话式AI需求。
  • 为ANZ机会设计和交付定制演示、概念验证(POC)和解决方案原型。
  • 编写RFP/RFI响应、提案和工作范围(SOW)文档的技术部分。
  • 建立和维护演示环境、脚本和技术资产,用于售前资料库。
  • 与ANZ客户经理合作制定获胜策略,并在客户账户中识别技术拥护者。
  • 回应客户的技术尽职调查、安全问卷和架构审查。
  • 向产品和工程团队提供ANZ企业客户的需求和竞争差距反馈。
  • 在客户面向的活动中、网络研讨会和行业会议上提供技术演讲支持。
  • 从销售交接至部署,并支持交付团队

要求

所需条件:

  • 5–8年在企业SaaS或AI平台的售前、解决方案工程或技术咨询方面的经验。
  • 熟悉客服技术、CCaaS平台(Genesys、Avaya、NICE、Cisco等)和电话架构。
  • 有相关经验
查看英文原文

The Solution Enterprise Consultant ANZ is a senior pre-sales technical expert responsible for demonstrating, architecting, and validating Omilia's conversational AI platform for enterprise prospects across Australia and New Zealand (ANZ) and where required across APAC. The role partners closely with Enterprise Account Executives covering the ANZ region to win complex deals by deeply understanding customer requirements and designing compelling, technically rigorous solutions. The role is also responsible for ensuring a smooth handover from sales to delivery and supporting the delivery team.
Accountabilities

  • Own the technical pre-sales process for assigned enterprise opportunities in ANZ, from discovery through proof-of-concept and proposal.
  • Accountable for the technical quality and accuracy of all solution designs, demonstrations, and proposals presented to ANZ enterprise prospects.
  • Responsible for building trusted technical advisor relationships with prospective client technical and business stakeholders across the ANZ region.
  • Act as the voice of the customer internally — translating prospect technical requirements into product feedback for Engineering and Product teams.

Key Responsibilities

  • Lead technical discovery with ANZ enterprise prospects to understand their contact centre architecture, integration landscape, and conversational AI requirements.
  • Design and deliver customised demonstrations, proof-of-concepts (POCs), and solution prototypes for ANZ opportunities.
  • 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 within prospect accounts.
  • Respond to technical due diligence, security questionnaires, and architecture reviews from prospects.
  • Provide feedback to Product and Engineering on ANZ 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

Requirements

Required:

  • 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.

Nice to have:

  • Prior experience supporting enterprise sales cycles in Australia and/or New Zealand.
  • Hands-on experience with major CCaaS platforms such as AWS Connect, Genesys Cloud, NICE CXone, or RingCentral.
  • Familiarity with Omilia's platform or competing conversational AI platforms.
  • Domain expertise in a vertical such as Banking, Insurance, Utilities, Healthcare, or Telco.

Omilia Note

  • Contribute actively and effectively as an integrated team member.
  • Act as an Omilia ambassador in all interactions.

Benefits

  • 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

Omilia is proud to be an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. We believe that embracing diversity in all its forms enriches our workplace and drives our collective success. We are committed to creating an environment where everyone feels welcomed, valued, and empowered to contribute their unique perspectives without regard to factors such as race, color, religion, gender, gender identity or expression, sexual orientation, national origin, heredity, disability, age, or veteran status, all eligible candidates will be given consideration for employment.
Originally posted on Himalayas

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