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Senior Staff AI Platform Engineer

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  • Company: Sentinel One
  • Location: United States (nationwide) (nationwide)
  • Salary: $184,000–$253,000/yr
  • Full Time
  • Company site
  • Map
  • $184,000–$253,000/yr

Sentinel One at a glance

sentinelone.com
  • Founded 2013
  • Ticker S
S 18.86 USD +7.22%
  • Revenue $1.00B
  • Net income -$450.74M

Investor research: Yahoo Finance · SEC filings

1,243 employees covered under a retirement plan (2024 filing) — via DOL Form 5500 / EFAST2

Registered as a global legal entity (LEI 984500DCD44DBF954221, US) — via GLEIF

SentinelOne (NYSE: S) is a U.S. cybersecurity firm founded in 2013 and based in Mountain View, California. It applies machine learning to protect endpoints, IoT devices, and cloud workloads, with roughly 2,800 employees and offices including Mountain View, Boston, Prague, Tokyo, and Tel Aviv.

4,339 Wikipedia views in July 2026 — a rough gauge of public visibility.

Source: Wikipedia · LinkedIn · X

Senior Staff AI Platform Engineer at SentinelOne - United States (nationwide) (nationwide)

About the Role

We are seeking a Senior Staff AI Platform Engineer to join our team and contribute to the development of SentinelOne's enterprise AI platform. This role requires hands-on experience in building, maintaining, and scaling complex AI systems that support various security operations.

Your Responsibilities

  • Design and implement scalable and robust AI solutions for endpoint, cloud, identity, data, and AI systems.
  • Collaborate with cross-functional teams to integrate AI technologies into existing platforms and workflows.
  • Develop and maintain high-performance machine learning models that enhance security operations.
  • Conduct performance analysis and optimize algorithms for better accuracy and efficiency.
  • Ensure compliance with industry standards and best practices in AI development and deployment.

What We're Looking For

  • A minimum of 8 years of experience in AI platform engineering, machine learning, or related fields.
  • Demonstrated expertise in building scalable AI systems using Python, TensorFlow, PyTorch, and other relevant frameworks.
  • Strong understanding of data science principles, including statistical analysis, model validation, and feature selection.
  • Experience with cloud platforms such as AWS, GCP, or Azure for deploying and managing AI models.
  • A passion for innovation and a commitment to continuous learning in the field of AI.

About SentinelOne

SentinelOne is 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.

How to Apply

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What people say about Sentinel One

Public discussion in the supplied Hacker News items is technical and not company-specific. Recent business coverage points to AI automation and consumption-model updates, plus market reaction after an AI-related analyst upgrade (Yahoo Finance, StockStory, Simply Wall St).

Recent news

Aggregated from public discussions and news; opinions are the authors’ own.

Working in United States (nationwide) (nationwide)

The role is listed as United States (nationwide) (not remote). Expect U.S. work norms, multi-timezone collaboration with SentinelOne’s global offices, and standard cybersecurity employer practices; no city-level commute or cost data is in the source set.

🇺🇸 Relocation safety for US: Exercise Normal Cautionvia Warnely, CC BY 4.0

National unemployment rate in US: 4.2%via World Bank

Private-sector wage growth (year over year): 3.1%via FRED

National quits rate: 2.0%via FRED (BLS JOLTS)

Weekly initial unemployment claims: 199,000via FRED

GDP per capita in US: $90,027via World Bank

Consumer price inflation in US: 2.9% (annual) — via World Bank

Real GDP growth in US: 2.2% (annual) — via World Bank

Average hours worked per year in US: 1,800via OECD

    About this role & career path

    Senior Staff at an AI-heavy security platform company is a high-scope IC track: deep systems ownership, cross-team influence, and platform leverage rather than single-feature delivery. Next steps often stay on staff/principal IC or move into platform/AI architecture leadership.

    Build the skills for this role

    • Strong software engineering foundations for platform work
    • Free paths: freeCodeCamp Full Stack (free), Saylor CS (free), CS50 (free to learn), Microsoft Learn (free to learn)
    • Then deepen ML systems, cloud ops, and security-adjacent reliability skills on the job

    Free & low-cost learning resources

    • Platform design: multi-tenant ML services, latency, cost, and failure modes
    • Systems coding: concurrency, APIs, observability
    • Security product context: how AI supports endpoint/cloud detection without inventing proprietary claims

    Best fit if you want senior platform ownership in cybersecurity AI at a public company (S), with U.S.-based work and influence over shared infrastructure that security products depend on.

    Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.

    Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.

    Add application deadline to calendar

    Listing facts

    • Role Senior Staff AI Platform Engineer
    • Employer Sentinel One
    • Location United States (nationwide) (nationwide)
    • Type Full Time
    • Pay (from listing) $184,000–$253,000/yr
    • Posted August 8, 2026
    • Apply by September 7, 2026
    • Country United States (nationwide)
    • Overview Full job description on this page (287 words)

    Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

    Public discussions & open sources

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    Employer website

    sentinelone.com

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    Senior Staff AI Platform Engineer Sentinel One · United States (nationwide) · $184,000–$253,000/yr