Job Description

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

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- Proven interest in investing and the startup ecosystem.
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- High agency and initiative.
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- Ability to write compelling investment memos with clear thinking, honest risk assessment, and a point of view on why a company will win.
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- Strong written communication.
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- Genuine interest in supporting founders.
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- Experience shipping products, tools, or prototypes using AI.
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- Ability to use, break, and understand AI models and their limits from first-hand experience.
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- Follows AI research and reads papers.
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- Tracks developments from major AI labs.
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- Ability to distinguish signal from noise, including novel architectures versus fine-tuned wrappers.
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- Deep AI network, or the instinct and energy to build one quickly.
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- Ability to build trust with PhD researchers and commercial co-founders.
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- Prior venture capital or startup operating experience is nice to have but not required.
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- Technical background in computer science, engineering, maths, or self-taught equivalent is nice to have but not required.
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- Experience evaluating deep-tech or frontier-technology companies is nice to have but not required.
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- Existing network in the ANZ or global AI community is nice to have but not required.
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- Public body of work such as writing, open-source contributions, talks, or products is nice to have but not required.
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Core Competencies

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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.

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Highest-signal resume keywords

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

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

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- Solid Written Communication
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- High Agency
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- Initiative
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- Trust Building
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- Genuine Interest in Supporting Founders
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Industry Keywords

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

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- AI-Powered Tools
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- Investment Research Tools
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📌 Investment Manager (New South Wales)
🏢 Jobtailor
📍 New South Wales