Senior Detection - San Francisco, CA, United States - harvey

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    Description

    Harvey is a secure AI platform for professionals in law, tax, and finance that augments productivity and automates complex workflows.

    Harvey uses algorithms with reasoning-adept LLMs that have been customized by our expert team of lawyers, engineers and research scientists.


    Partnerships:

    Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.


    Performance:
    $0-15M ARR in the last 12 months.

    Value:
    Top of market cash and equity compensation.

    Some of the word's largest companies and their law firms use Harvey to make sense of their legal documents and automate legal work.

    Our customers depend on us to deliver a secure, trustworthy, and compliant platform. As an early member of our Security team, you will lay the foundation of our Detection and Response program.

    From the beginning we have invested into tight security controls to reduce noise and automation wherever possible to handle the business velocity.

    Breaking into systems at other companies (in white-hat capacities), responding to real security incidents, and learning from other companies' data breaches.

    Onboard all relevant data sources (Azure, Kubernetes, Google Workspace, Endpoint, Application, etc)
    Demonstrated success building or improving a detection and response function and measuring its effectiveness
    Hands-on log data analysis skills
    Experience writing high-quality alerting rules and response playbooks
    Software development experience
    Strong understanding of operating system, network, and security fundamentals
    No experience with generative AI or legal is required
    4+ years of experience in Security, Operations/SRE, Software Engineering, or related disciplines, 2+ years of which focused on incident detection and response

    ~ Level:
    Senior

    Knowledge of and experience with: - MacOS internals and security best practices - Kubernetes - Microsoft Azure