Anthropic24.04.2026
Head of ANZ, Applied AI
Sydney
Обязанности
- 01Build and manage the foundational team of Applied AI professionals in ANZ (Solutions Architects and Product Engineers) providing both technical guidance and career development
- 02Set goals and reviews for your team, promoting growth and output
- 03Work 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
- 04Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ANZ enterprise customers
- 05Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ANZ market
- 06Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
- 07Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
- 08Travel regularly to customer sites across Australia and New Zealand for executive-level sessions, technical workshops, and building relationships
- 09Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
- 10Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
- 11Stay 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)
Требования
- 0115+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
- 025+ years of technical go-to-market management experience, specifically managing pre-sales teams
- 03Experience working with ANZ enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across Australia and New Zealand
- 04Familiarity with the ANZ regulatory landscape (e.g., Australian Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments
- 05Experience with the unique technical requirements and technical procurement process of enterprise tech companies
- 06Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
- 07Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
- 08Have excellent communication, collaboration, and coaching abilities
- 09Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
- 10Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
- 11Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
- 12Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
- 13Make ambiguous problems clear and identify core principles that can translate across scenarios
- 14Have a passion for making powerful technology safe and societally beneficial
- 15Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
- 16Stay up-to-date and informed by taking an active interest in emerging research and industry trends
- 17Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
Условия
- 01Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- 02Required field of study: A field relevant to technology