- Find and win the best early-stage companies being built by ANZ founders.
- Build a sourcing engine for early-stage companies across ANZ and selectively globally.
- Develop relationships in the AI community with researchers, builders, operators, and open-source contributors.
- Serve as a first call for founders building in AI.
- Participate in relevant events, contribute to discourse, and earn founders' trust before funding rounds open.
- Evaluate technical defensibility, including replication risk, data moats, and competitive landscapes.
- Assess founding teams' technical credibility, commercial instinct, and recruiting ability.
- Write rigorous investment memos covering technology, risks, and investment rationale.
- Contribute to Airtree's internal AI-powered tools for sourcing signals, company research, meeting preparation, and portfolio monitoring.
- Support portfolio companies with AI adoption, integration, and strategy.
- Connect founders with relevant talent, customers, co-investors, and technical advisors.
- Lead deals end-to-end once up and running.
- Participate as part of Airtree's 13-person investment team.

Requirements

- Proven interest in investing and the startup ecosystem.
- High agency and initiative.
- Ability to write compelling investment memos with clear thinking, honest risk assessment, and a point of view on why a company will win.
- Solid written communication.
- Genuine interest in supporting founders.
- Experience shipping products, tools, or prototypes using AI.
- Ability to use, break, and understand AI models and their limits from first-hand experience.
- Follows AI research and reads papers.
- Tracks developments from major AI labs.




- Ability to distinguish signal from noise, including novel architectures versus fine-tuned wrappers.
- Deep AI network, or the instinct and energy to build one quickly.
- Ability to build trust with PhD researchers and commercial co-founders.
- Prior venture capital or startup operating experience is nice to have but not required.
- Technical background in computer science, engineering, maths, or self-taught equivalent is nice to have but not required.
- Experience evaluating deep-tech or frontier-technology companies is nice to have but not required.
- Existing network in the ANZ or global AI community is nice to have but not required.
- Public body of work such as writing, open-source contributions, talks, or products is nice to have but not required.

Core Competencies

Demonstrates expertise in evaluating early-stage AI companies, building relationships within the AI community, and writing compelling investment memos. Capable of supporting portfolio companies with AI integration and strategy while leading investment deals end-to-end.

Highest-signal resume keywords

- Investment Memo Writing
- AI Model Evaluation
- Startup Ecosystem Knowledge
- Relationship Building in AI
- Deep AI Network

Hard Skills

- AI Product Development
- Technical Defensibility Assessment
- Risk Assessment
- Data Moat Evaluation
- Competitive Landscape Analysis

Soft Skills

- Strong Written Communication
- High Agency
- Initiative
- Trust Building
- Genuine Interest in Supporting Founders

Industry Keywords

- Early-Stage Companies
- Venture Capital
- AI Community
- Deep-Tech Companies
- Frontier Technology

Tools & Technologies

- AI-Powered Tools
- Investment Research Tools

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📌 Investment Manager (New South Wales)
🏢 Jobtailor
📍 New South Wales