Senior Staff Forward Deployed Engineer, AI
SentinelOne
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 184,000–253,000/yr
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
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.
Requirements
- 8 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).
- 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.
- Working understanding of APIs, webhooks, data structures, and integration patterns.
- 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.
- Strong communication skills with the ability to explain technical trade-offs to a functional VP as easily as to a fellow engineer.
Preferred
- 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.
Skills
- Python
- Node.js
- JavaScript
- Claude Code
- Codex
- Cursor
- LLM
- APIs
- Webhooks
- Data Structures
- Integration Patterns
- Full-Stack Development
- Frontend Development
- Backend Development
- AI Coding Assistants
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