# Head of ANZ, Applied AI

**Company**: Anthropic
**Location**: Sydney, Australia
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5184077008
**Canonical**: https://yubhub.co/jobs/job_ca15e8f1-ec2

## Description

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

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

## Skills

### Required
- Solutions Architect
- Sales Engineer
- Pre-sales technical role
- Technical go-to-market management
- Enterprise AI deployments
- API integrations
- Production LLM use cases
- Large language models
- ML in general
- Prompt engineering
- LLM evaluation
- Architecting AI-powered systems