Company Description:
Anvilogic is a Palo Alto-based AI cybersecurity startup founded by security veterans and data scientists from Fortune 500 companies. In 2019, we started building an AI-based SOC platform to lower the barrier to entry for detection engineering and threat hunting skill sets desperately needed in cybersecurity.
Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data.
Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams.
Anvilogic has just raised a $45M Series C financing led by Evolution Equity Partners.
Company Overview:
Founded in 2019, Anvilogic is a Series C, AI, cybersecurity cloud enterprise company. Anvilogic is the industry’s first AI-powered multi-data platform SIEM company that is shaking up the legacy hold of platforms like Splunk at F1000 companies and becoming the modern SIEM of choice at these companies. Our customer connection is strong, our platform is enterprise-grade, and we have a promising growth year ahead of us. Our team is a collection of industry veterans and domain experts, with experience in building companies. Our investors & Board members are tier 1. Revenue has doubled in 2023 and is expected to double in 2024. More about us and our customers: .
Job Description:
The Security Field Engineer will help manage customer engagements pre and post implementation for techincal based requests.
The role will be responsible for ensuring customer success throughout the engagement lifecycle and will work closely with product, sales, and marketing to generate customer tracttion, as well as implementing customer success criteria per and post pilot.
Managing ongoing or in progress customer engagements
Working closely with platform product team on customer requests, bugs, or enhancements
Developing and integrating specific customer detection use cases or integrations with the customer
Normalization of datasets/login in customer environments
Assist with customer presentations, demos, etc
Assist with automation of tasks related to customer onboarding
Assist in new feature development and product strategy based on customer usage and feedback
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