This is a career-defining role that will help build the future of AI-native cybersecurity. If you thrive on variety, move fast, and want your work to make a meaningful impact on AI safety and security, you're in the right place!
We’re looking for a jack/jill of many trades, master of some. It's fine if you lean more heavily into one domain (e.g. backend systems, front-end UX, cybersecurity, ML/LLMs), but you will need to jump in quickly to wherever the stack needs you.
We value growth potential over a perfect skills and experience match. Our field is always evolving, and we embrace learning as we go. If you meet many of the criteria below but not all of them, we encourage you to apply anyway!
What you’ll be doing:
- Designing and building AI-powered cybersecurity products and autonomous agents
- Prototyping new ideas, applying cutting-edge AI research, and shaping early product direction with the team
- Working directly with customers, partners, and researchers to solve real-world problems
- Mentoring and collaborating with fellow engineers to raise the technical bar and foster a culture of learning
- Communicating technical proposals and findings to different audiences
- Scaling up infrastructure and making code more efficient
What you bring to the table:
- Genuine passion for our mission — the safe flourishing of humanity alongside AI — and an impact mindset in everything you do
- 4+ years of software engineering experience, including substantial full-stack work across the development lifecycle — from architecture design and prototyping, to deployment and long-term maintenance and debugging
- Capacity to independently plan and carry out large software projects from inception to completion
- Flexibility to wear multiple hats, context-switching between different roles and responsibilities as needed
- Comfort with Python fundamentals
- Familiarity with basic web technologies: HTTP, HTML, CSS, and JavaScript/TypeScript
- Excellent communication and collaboration skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences
Nice to haves:
- Cybersecurity experience, potentially including pentesting, vulnerability management, security incident response, or threat intelligence
- Experience with Docker and related tools (e.g. Docker Compose, Kubernetes)
- Deep experience in front-end and UI development, including front-end frameworks such as React
- Prior experience as a founder or early employee at a rapidly growing startup
- Knowledge of common LLM architectures (e.g. GPT, BERT), and experience with fine-tuning and/or prompting LLMs
- Experience with data analysis, visualization, and reporting tools (e.g. pandas, Matplotlib, seaborn, Plotly)
- Exposure to DevOps / cloud infra services such as AWS, GCP, Azure or similar
Compensation:
Salary ranges and packages are quoted for US and Australia respectively; local adjustments for other countries.
- USA: $150k USD to $250k USD + comprehensive benefits package including health, dental, and vision insurance
- Australia: $150k AUD to $250k AUD + superannuation
Additionally, we offer generous stock options that give you a stake in the company's success. Equity ranges from 0.1% to 1% depending on skills and background.
