Job Description [DTL1] Familiarity with AI/ML concepts and the ability to explain how AI-driven detection, behavioural analytics, or threat modelling works to both technical and non-technical audiences Understanding of enterprise security frameworks (MITRE ATT&CK;, Zero Trust, SOC workflows) and how they align to platform value Exposure to SIEM, SOAR, EDR, or network detection tools is advantageous Comfortable with light scripting or query languages (Python, SQL, or platform-specific query syntax) to support customer use cases and investigations

NICE TO HAVE

Security certifications (CISSP, CompTIA Security+, CEH, or equivalent) Prior experience at a high-growth AI or cybersecurity company Familiarity with DevSecOps pipelines and developer-centric security workflows Experience building or contributing to scaled CS programs, playbooks, or tooling WHAT WE OFFER

HOW WE WORK





Outcome-oriented and self-directed — you manage your book of business with high autonomy Cooperative across Sales, Product, and Engineering without bureaucracy Data-driven — health scores, adoption metrics, and risk signals guide your priorities Fast-moving — we iterate quickly on programs, tooling, and processes Competitive base salary and performance bonus tied to retention and expansion Equity participation in a high-growth AI security company Comprehensive health, dental, and vision benefits Flexible remote or hybrid working arrangements Learning and development budget — including security certifications and AI fluency programs Regular team offsites and an inclusive, mission-driven culture

📌 Technical Success Manager (Bengaluru)
🏢 Aeries Technology
📍 Bengaluru