Staff Forward Deployed Engineer, AI

Details

As a Staff Forward Deployed Engineer, AI, you will extend SentinelOne's engineering capacity directly into departments including Sales, Customer Success, Finance, Security, People, and Legal. You will embed with stakeholders to understand their workflows, scope problems end to end, and ship custom applications into production in days or weeks rather than quarters. The role combines hands-on full-stack engineering, rapid prototyping with modern AI tools, and the judgment to determine when to build, reuse, or decline a solution.

Responsibilities

• Embed with functional departments for defined engagements and conduct discovery to understand workflows and pain points before coding.
• Scope, design, and build full-stack custom applications using modern frameworks, AI coding assistants, and internal platform APIs.
• Own delivery end to end, including architecture, development, testing, deployment, training, and handoff.
• Work hands-on with AI coding tools such as Claude Code and Codex to accelerate development and iterate with stakeholders in near real time.
• Make trade-offs between scope, speed, and quality as requirements change, and communicate those trade-offs clearly.
• Partner with IT, Security, and Data teams to ensure applications meet standards for data security, compliance, and long-term supportability.
• Codify recurring patterns, components, and playbooks into reusable building blocks.
• Share field learnings with platform, product, and data teams.
• Measure success through production adoption and measurable business impact.

Requirements

• At least 5 years of professional software engineering experience.
• Demonstrated ability to independently design, build, and ship full-stack applications across frontend and backend systems.
• Proficiency in at least one modern backend language, such as Python or Node.js/JavaScript, or a comparable language.
• Sufficient frontend skills to build usable internal tools without relying on a dedicated design or frontend team.
• Hands-on experience with AI coding assistants and LLM-based tools, including Claude Code, Cursor, or Codex.
• Working knowledge of APIs, webhooks, data structures, and integration patterns.
• Experience working directly with non-technical stakeholders, scoping ambiguous requests, managing expectations, and delivering working software.
• Ability to work autonomously amid shifting priorities across departments and problem spaces.
• Strong communication skills and the ability to explain technical trade-offs to functional executives and engineers.
• Experience in a forward-deployed, solutions engineering, professional services, or startup generalist role is preferred.
• Exposure to enterprise security, compliance, or data governance requirements is preferred.

Benefits

• Restricted Stock Units and Employee Stock Purchase Plan.
• Flexible time off, paid company holidays, paid sick time, gender-neutral parental leave, and grandparent leave.
• Medical, dental, and vision coverage.
• 401(k) retirement plan with company match.
• Life and disability insurance, health and dependent care FSA, voluntary benefits, Employee Assistance Program, prepaid legal services, pet insurance, cancer care program, and global business travel medical insurance.
• Home office allowance and mobile phone reimbursement.
• Wellness coach, wellness or gym reimbursement, fertility coverage, and adoption and surrogacy reimbursement.

This U.S. role has a location-dependent base pay range. The base salary range is $156,000-$215,000 USD. For some locations, a different pay range may apply and will be provided during the recruiting process.