Staff Forward Deployed Engineer, AI

Our Purpose 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. About Us 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. What Are We Looking For? We’re 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 Staff Forward Deployed Engineer, AI, you will be tasked with extending SentinelOne's engineering capacity directly into the departments that need it most, including Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you will embed with the stakeholders who own a problem, scope it end to end, and ship a working custom application into their hands, often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the judgment to know when to build, when to reuse, and when to say no. What Will You Do? Primary responsibilities include: Embed with a functional department for a defined engagement, running discovery to understand workflows and pain points before writing a line of code. Scope, design, and build full-stack custom applications (not just automations or scripts) using modern frameworks, AI coding assistants, and internal platform APIs, moving from prototype to production quickly. Own delivery end to end including architecture, build, testing, deployment, and the training and handoff that gets a department to actually adopt what you built. Work hands-on in the code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles, iterating with stakeholders in near real time rather than through long requirements documents. Make explicit trade-offs between scope, speed, and quality as requirements shift, and communicate those trade-offs clearly to stakeholders and leadership. Partner with IT, Security, and Data teams so every deployed application meets SentinelOne's standards for data security, compliance, and long-term supportability. Codify recurring patterns, components, and playbooks from each engagement into reusable building blocks for the next department and for the broader engineering organization. Feed field learnings back to platform, product, and data teams covering what worked, what broke, and what the next generation of internal tools should look like. Measure and report success through production adoption and measurable business impact, not lines of code shipped or tickets closed. What Skills and Knowledge Will You Bring? Ideal candidates will have: 5 or more years of professional software engineering experience with a demonstrated ability to design, build, and ship full-stack applications (frontend and backend) independently. Proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable) and enough frontend ability to build usable internal tools without waiting on a dedicated design or frontend team. Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to accelerate development, plus a working understanding of APIs, webhooks, data structures, and integration patterns. A track record of working directly with non-technical stakeholders including scoping ambiguous requests, managing expectations, and shipping something real rather than a deck. Comfort operating with significant autonomy and shifting priorities across departments and problem spaces where the right solution is rarely handed to you. Strong communication skills with the ability to explain technical trade-offs to a funct