Head of ANZ, Applied AI · Anthropic

Sat, 25 Apr 2026 12:09:00 GMT
Engineering

Anthropic · Sydney, Australia · hybrid

As the founding leader of Applied AI Solutions Architecture in ANZ, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Australian and New Zealand enterprises and digital-first organisations.

You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

You'll be responsible for building and leading the ANZ Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers.

Key responsibilities include:

Building and managing the foundational team of Applied AI professionals in ANZ (Solutions Architects and Product Engineers) providing both technical guidance and career development

Setting goals and reviews for your team, promoting growth and output

Working with a handful of highest-value enterprise customers across Australia and New Zealand on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution

Partnering closely with your aligned GTM leadership to understand customer requirements & co-building GTM strategies to drive adoption for ANZ enterprise customers

Contributing to thought leadership through conference presentations, webinars, and technical content creation within the ANZ market

Owning the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products

Driving collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes

Travelling regularly to customer sites across Australia and New Zealand for executive-level sessions, technical workshops, and building relationships

Establishing a shared vision for creating solutions that enable beneficial and safe AI in technology products

Leading the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities

Staying current with emerging AI/ML trends and competitive landscape in the ANZ enterprise tech sector, including the region's highly regulated industries (financial services, government, resources)

You may be a good fit if you have:

15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role

5+ years of technical go-to-market management experience, specifically managing pre-sales teams

Experience working with ANZ enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across Australia and New Zealand

Familiarity with the ANZ regulatory landscape (e.g., Australian Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments

Experience with the unique technical requirements and technical procurement process of enterprise tech companies

Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

An organisational mindset and enjoy building foundational teams in a relatively unstructured environment

Excellent communication, collaboration, and coaching abilities

Comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry

Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams

At least a high level familiarity with the architecture and operation of large language models and/or ML in general

Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

Making ambiguous problems clear and identifying core principles that can translate across scenarios

Having a passion for making powerful technology safe and societally beneficial

Thinking creatively about the risks and benefits of new technologies, and thinking beyond past checklists and playbooks

Staying up-to-date and informed by taking an active interest in emerging research and industry trends