The client is pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if proper safeguards ar not implemented. The clients are seeking an exceptional Security and Response engineer to act as the frontline defence against incursions and risks. The security team will build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape AI security capabilities from the ground up alongside talented research and security teams.
About The Client
The client is an AI company working to build reliable, transparent, interpretable, and controllable AI systems. They want AI to be safe and useful for customers and for humanity. This team has experience across ML, physics, policy, business, marketing, and product development.
Responsibilities:
- Design and implement improvements to logging, data pipelines, integrations, and automation to expand monitoring, threat detection and response capabilities
- Create and optimize detections, game plans, and workflows to quickly identify and respond to potential threats.
- Deploy advanced security tooling in a variety of environments.
- Provide assistance during complex security events and drive continuous improvement of practices within the team
- Find innovative ways to apply LLMs and automation to elevate the client's threat detection and response procedures and processes
- Work cross-functionally with other security and engineering staff and those outside the security team
You may be a good fit if you have:
- 3+ years of software engineering experience, with security experience a definite plus and/or
- 5+ years of detection engineering, incident response, or threat-hunting experience
- A good working understanding of cloud environments and operations
- Experience working with engineering teams in a SaaS environment
- Great communication and collaboration skills
- A self-starter with the ability to lead projects with little guidance and take initiative to create new projects where needed
- Knowledge of EDR, SIEM, SOAR, or related security tools
Strong candidates may also have:
- Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics
- Experience analyzing attack behavior and prototyping of high-quality detections
- Experience handling security incidents and investigating anomalies as part of a cross-functional team
- A high level of proficiency in Python and query languages such as SQL
- The ability to pick up new languages and technologies quickly
- Experience contributing to a high-growth and dynamic startup environment
Annual Salary (USD)
- The expected salary range for this position is $200k - $300k.
Location: California (Remote Possible).
US visa sponsorship: The client may consider sponsoring visas for some candidates but cannot commit to doing so; operations roles are difficult to support. For the right candidate, the client will make every effort to get you into the United States.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. We believe representation is important, and we strive to include a range of diverse perspectives on our team.
Compensation and Benefits*
The compensation package consists of three elements: salary, equity, and benefits. The clients are committed to pay equity and aim for these three elements collectively to be highly competitive with market rates.
US Benefits - The following benefits are for US-based employees:
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Relocation support for those moving to the Bay Area.
- This compensation and benefits information is based on the client’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.