Job Description
n
Find and win the best early-stage companies being built by ANZ founders.
n
Build a sourcing engine for early-stage companies across ANZ and selectively globally.
n
Develop relationships in the AI community with researchers, builders, operators, and open-source contributors.
n
Serve as a first call for founders building in AI.
n
Participate in relevant events, contribute to discourse, and earn founders' trust before funding rounds open.
n
Evaluate technical defensibility, including replication risk, data moats, and competitive landscapes.
n
Assess founding teams' technical credibility, commercial instinct, and recruiting ability.
n
Write rigorous investment memos covering technology, risks, and investment rationale.
n
Contribute to Airtree's internal AI-powered tools for sourcing signals, company research, meeting preparation, and portfolio monitoring.
n
Support portfolio companies with AI adoption, integration, and strategy.
n
Connect founders with relevant talent, customers, co-investors, and technical advisors.
n
Lead deals end-to-end once up and running.
n
Participate as part of Airtree's 13-person investment team.
n
n
Requirements
n
n
Proven interest in investing and the startup ecosystem.
n
High agency and initiative.
n
Ability to write compelling investment memos with clear thinking, honest risk assessment, and a point of view on why a company will win.
n
Strong written communication.
n
Genuine interest in supporting founders.
n
Experience shipping products, tools, or prototypes using AI.
n
Ability to use, break, and understand AI models and their limits from first-hand experience.
n
Follows AI research and reads papers.
n
Tracks developments from major AI labs.
n
Ability to distinguish signal from noise,



including novel architectures versus fine-tuned wrappers.
n
Deep AI network, or the instinct and energy to build one quickly.
n
Ability to build trust with PhD researchers and commercial co-founders.
n
Prior venture capital or startup operating experience is nice to have but not required.
n
Technical background in computer science, engineering, maths, or self-taught equivalent is nice to have but not required.
n
Experience evaluating deep-tech or frontier-technology companies is nice to have but not required.
n
Existing network in the ANZ or global AI community is nice to have but not required.
n
Public body of work such as writing, open-source contributions, talks, or products is nice to have but not required.
n
n
Core Competencies
n
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.
n
Highest-signal resume keywords
n
n
Investment Memo Writing
n
AI Model Evaluation
n
Startup Ecosystem Knowledge
n
Relationship Building in AI
n
Deep AI Network
n
n
Hard Skills
n
n
AI Product Development
n
Technical Defensibility Assessment
n
Risk Assessment
n
Data Moat Evaluation
n
Competitive Landscape Analysis
n
n
Soft Skills
n
n
Robust Written Communication
n
High Agency
n
Initiative
n
Trust Building
n
Genuine Interest in Supporting Founders
n
n
Industry Keywords
n
n
Early-Stage Companies
n
Venture Capital
n
AI Community
n
Deep-Tech Companies
n
Frontier Technology
n
n
Tools & Technologies
n
n
AI-Powered Tools
n
Investment Research Tools
n

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