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Field CTO - APAC
Australia
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Field CTO - APAC

Sydney / Melbourne


A unique opportunity to join one of the most mature AI companies globally as it scales across APAC.


This is a senior customer-facing technical leadership role for someone who can sit with CIOs, CTOs, CDOs, Chief Customer Officers and transformation leaders, then connect AI capability to enterprise strategy, architecture, adoption and measurable business value.


The company has raised US$280m+, recently crossed US$100m ARR, and is backed by world-class investors including a16z, Greylock, Sequoia, Tiger Global, QIA, WiL, Accenture, Qualcomm Ventures, Workday Ventures and JP Morgan.


The founding and leadership DNA is exceptional, with deep roots across frontier AI, enterprise contact centre AI, cloud AI platforms and category-defining technology companies.


The Opportunity

  • The business is building the next generation of AI for enterprise customer experience, combining AI agents, real-time human augmentation and conversation intelligence to transform how large organisations serve, support and engage their customers.
  • The Field CTO will become the senior technical voice in-region, supporting strategic enterprise pursuits, advising senior customers, shaping AI transformation conversations, and helping customers understand how to deploy AI safely and effectively at scale.
  • This is not a traditional pre-sales engineering role. It is also not a pure advisory role.
  • It sits between sales, customer success, product, engineering and executive customers, with a mandate to help win major accounts, expand strategic relationships, influence product direction and represent the company’s technology vision in-market.


What You’ll Own

  • Act as the primary technical executive interface for strategic enterprise customers.
  • Advise CIO, CTO, CDO, COO and CX leaders on AI, cloud, data, enterprise architecture, security and customer experience transformation.
  • Support late-stage enterprise pursuits that require senior technical credibility and executive air-cover.
  • Partner with account executives and solution engineers to validate technical strategy, shape customer narratives and carry complex deals through to close.
  • Translate customer business challenges into practical AI deployment strategies.
  • Lead executive workshops, architecture sessions, transformation discussions and customer briefings.
  • Open doors in strategic accounts through peer-level credibility and technical authority.
  • Support platform expansion across existing customers by acting as the senior technical sponsor.
  • Feed real customer insight back into product and engineering to influence roadmap and prioritisation.
  • Represent the company externally through thought leadership, industry forums, executive events and strategic customer meetings.
  • Mentor and support solution architects, customer engineers and field teams as the region scales.


Role Shape

The engagement model is weighted toward:

  • 70% GTM support:
  • Strategic pursuits, late-stage deal support, executive advisory, technical validation, new-account credibility and enterprise transformation conversations.
  • 30% Customer success and expansion
  • Technical executive sponsorship, product escalation, roadmap feedback, industry collaboration, thought leadership and expansion across priority customers.


Ideal Background

You may come from:

  • Field CTO, Chief Architect, Enterprise Architect or Principal Architect roles.
  • Director / Head of Solutions Engineering, Solution Consulting or Presales.
  • Customer Engineering or Specialist Cloud / AI architecture leadership.
  • Enterprise AI, cloud, data, CX, contact centre, automation or SaaS platform environments.
  • Consulting or advisory firms where you have led technical transformation with C-suite customers.
  • Highly relevant backgrounds include enterprise cloud, AI/ML, data platforms, contact centre technology, customer experience platforms, automation, security, enterprise architecture, solution engineering and transformation consulting.


What We’re Looking For

  • 10+ years in senior technology, architecture, solution engineering, field CTO, customer engineering or equivalent roles.
  • Strong technical depth across AI/ML, Generative AI, cloud platforms, APIs, data systems, enterprise architecture and SaaS.
  • Ability to influence C-suite executives and senior technical decision-makers.
  • Credibility in complex enterprise environments, including regulated or high-scale customers.
  • Strong commercial judgement, with the ability to connect technology to revenue, cost, productivity, customer experience and transformation outcomes.
  • Exceptional executive communication, storytelling and presentation skills.
  • Experience advising on large-scale enterprise software implementations with multiple stakeholders, dependencies and risk factors.
  • Comfort operating in a high-growth AI company where the market is moving quickly and the playbook is still being written.
  • Strategic, humble, customer-obsessed mindset with the ability to balance vision and practicality.


Why This Role Is Compelling

  • Join a proven AI scale-up with US$100m+ ARR, not an early-stage concept still searching for product-market fit.
  • Work with a product category that is moving from experimentation to enterprise-scale deployment.
  • Sit at the centre of AI adoption for some of the region’s largest organisations.
  • Become one of the senior technical faces of the APAC business.
  • Influence GTM strategy, customer expansion, product roadmap and market positioning.
  • Work with a global team of AI, ML, enterprise software and GTM leaders.
  • Meaningful equity upside at a late-stage, high-growth AI company.


Compensation: base salary + super + bonus + equity + health insurance + benefits

Location: Australia, Sydney or Melbourne preferred

Travel: customer and executive engagement as required


Apply

This is a confidential search for a high-growth AI company building its APAC leadership team.

Suitable candidates will have the unique blend of technical depth, executive presence, commercial judgement and customer-facing credibility required to help large enterprises adopt AI at scale.


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