Senior Product Support Engineer
Own Level 1 and Level 2 product support cases from initial report through resolution, troubleshooting enterprise systems and cloud environments while working directly with customers and internal teams.
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
Weβre looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Technical Support Engineer, AI Security, you will be tasked with providing multi-platform technical support via phone, email, and chat, troubleshooting security and cloud issues alongside engineering teams. You will document cases clearly and contribute to knowledge base resources to improve support quality and efficiency.
Primary responsibilities include:
Ideal candidates will have:
AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:
Equity & Rewards
Time Off & Wellbeing
Insurance & Financial Security
Work Perks & Flexibility
Wellness & Lifestyle
Growth & Community
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
To learn more about how we use AI in our hiring process, please review our AI in Hiring Candidate Disclosure.
Own Level 1 and Level 2 product support cases from initial report through resolution, troubleshooting enterprise systems and cloud environments while working directly with customers and internal teams.
Reproduce and investigate dealer-reported issues, analyze logs and distributed traces, validate integrations, and deliver actionable engineering tickets while coordinating escalations and incident response.
Own complex enterprise customer support issues, debug Python and no-code agents, investigate production problems, and build automation that helps technical users succeed with the platform.
Resolve complex SASE and cloud security issues for enterprise customers, lead root cause analysis and support planning, and collaborate across teams to improve products and customer security.
Own client-facing production support from incident triage through resolution, investigate root causes, contribute to DevOps and continuous improvement, and strengthen system reliability, observability, and resilience.