Staff Forward Deployed Engineer, AI

SentinelOne

2h•$156,000 - $215,000•Remote

About The Position

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.

Requirements

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 functional VP as easily as to a fellow engineer.

Nice To Haves

Prior experience in a forward-deployed, solutions engineering, professional services, or startup generalist role where you owned a project from discovery through production is preferred.
Exposure to enterprise security, compliance, or data governance requirements given the internal, security-conscious environment you will be building in is preferred.

Responsibilities

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.