Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Python @ 6
Data Structures @ 4
Leadership @ 4
Scoping @ 4
Communication @ 7
JavaScript @ 4
Node.js @ 6
API @ 4
LLM @ 4
Compliance @ 4
Codex @ 4
Claude Code @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
At SentinelOne we are driven to give the advantage to those who secure our future. SentinelOne is an AI-native cybersecurity company unifying protection across endpoint, cloud, identity, data, and AI systems. Your work will help protect global enterprises and critical infrastructure by building practical, production-ready solutions that move quickly from prototype to adoption.
Role overview
As a Staff Forward Deployed Engineer, AI you will embed directly with functional departments (Sales, Customer Success, Finance, Security, People, Legal, etc.) to scope, design, and ship full-stack custom applications and solutions. This role combines hands-on full-stack engineering, rapid prototyping with modern AI tools, and stakeholder-facing delivery work. You will be expected to move from discovery to production in days or weeks, own end-to-end delivery, and codify reusable patterns and playbooks for the organization.
Responsibilities
- Embed with a functional department for a defined engagement, run discovery to understand workflows and pain points before writing code.
- Scope, design, and build full-stack custom applications (not just automations or scripts) using modern frameworks, AI coding assistants, and internal platform APIs.
- Own delivery end to end: architecture, build, testing, deployment, training, and handoff for adoption.
- Work hands-on in code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles and iterate with stakeholders in near real time.
- Make trade-offs between scope, speed, and quality as requirements shift and clearly communicate those trade-offs to stakeholders and leadership.
- Partner with IT, Security, and Data teams to ensure deployed applications meet security, compliance, and long-term supportability standards.
- Codify recurring patterns, components, and playbooks from engagements into reusable building blocks for other departments and engineering teams.
- Feed field learnings back to platform, product, and data teams about 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.
Requirements
- 5 or more years of professional software engineering experience with demonstrated ability to design, build, and ship full-stack applications (frontend and backend) independently.
- Proficiency in at least one modern backend language such as Python or Node.js/JavaScript and sufficient frontend ability to build usable internal tools without a dedicated design/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: scoping ambiguous requests, managing expectations, and shipping working solutions.
- Comfortable operating with significant autonomy and shifting priorities across departments and problem spaces.
- Strong communication skills to explain technical trade-offs to both functional leadership and engineers.
- Preferred: prior experience in a forward-deployed, solutions engineering, professional services, or startup generalist role owning projects from discovery through production.
- Preferred: exposure to enterprise security, compliance, or data governance requirements.
Compensation
This U.S. role has a base pay range that will vary based on the candidate's location. Base Salary Range: $156,000—$215,000 USD.
Benefits
- Restricted Stock Units (RSUs) and Employee Stock Purchase Plan (ESPP)
- Flexible time off, paid holidays, and paid sick time
- Gender-neutral parental leave and grandparent leave
- Medical, dental, and vision coverage; 401(k) with company match; life and disability insurance
- Health and dependent care FSA, voluntary benefits, Employee Assistance Program (EAP)
- Home office allowance and mobile phone reimbursement
- Wellness coach, gym reimbursement, fertility coverage, adoption & surrogacy reimbursement
Additional information
SentinelOne is an Equal Employment Opportunity and Affirmative Action employer. SentinelOne participates in the E-Verify Program for all U.S.-based roles.