Head of ANZ, Applied AI at Anthropic

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.

You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across Australia and New Zealand.

In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ANZ incorporate leading-edge AI systems into their cutting-edge products and platforms.

You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike.

You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Responsibilities:

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

• Set goals and reviews for your team, promoting growth and output

• Work 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

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

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

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

• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes

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

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

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

• Stay 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

• Have an organisational mindset and enjoy building foundational teams in a relatively unstructured environment

• Have excellent communication, collaboration, and coaching abilities

• Are 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

• Have 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

• Make ambiguous problems clear and identify core principles that can translate across scenarios

• Have a passion for making powerful technology safe and societally beneficial

• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks

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

• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

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