
1001 - 5000 employees
Founded 1994
🔒 Cybersecurity
🏢 Enterprise
☁️ SaaS
💰 $18M Post-IPO Equity on 2006-09
Cybersecurity • Enterprise • SaaS
Forcepoint is a cybersecurity company offering a data-first approach to securing digital environments. Specializing in data security across cloud, web, email, and enterprise networks, Forcepoint provides solutions such as Data Loss Prevention (DLP), Cloud Access Security Broker (CASB), Secure Web Gateway, and Next Generation Firewall (NGFW). The company enables secure and efficient access to data in the cloud and on-premises, deploying AI-powered automation to enhance risk management and streamline compliance. As a recognized leader in security service edge solutions, Forcepoint is trusted by organizations to protect sensitive data and prevent breaches across varied digital platforms.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $185.1k - $273.2k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 IT Support
🦅 H1B Visa Sponsor
👻 Ghost score 1%
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1001 - 5000 employees
Founded 1994
🔒 Cybersecurity
🏢 Enterprise
☁️ SaaS
💰 $18M Post-IPO Equity on 2006-09
Cybersecurity • Enterprise • SaaS
Forcepoint is a cybersecurity company offering a data-first approach to securing digital environments. Specializing in data security across cloud, web, email, and enterprise networks, Forcepoint provides solutions such as Data Loss Prevention (DLP), Cloud Access Security Broker (CASB), Secure Web Gateway, and Next Generation Firewall (NGFW). The company enables secure and efficient access to data in the cloud and on-premises, deploying AI-powered automation to enhance risk management and streamline compliance. As a recognized leader in security service edge solutions, Forcepoint is trusted by organizations to protect sensitive data and prevent breaches across varied digital platforms.
• Lead development of enterprise AI reference architectures, including secure AI factories, air-gapped AI environments, classified AI deployments, multi-level security AI, RAG, AI agents, and mission AI environments • Serve as primary technical architect for strategic AI ecosystem partnerships, including the Everfox-NVIDIA relationship • Design secure AI architectures integrating cross-domain solutions, trusted data exchange, mission assurance, insider risk controls, and modern AI platforms • Collaborate with strategic partners on demonstrations, joint laboratories, customer reference architectures, technical workshops, and thought leadership materials • Lead executive-level technical discussions with CIOs, CTOs, Chief AI Officers, Chief Data Officers, defense organizations, and intelligence community stakeholders • Support executive briefings, technical strategy sessions, architecture workshops, and AI modernization roadmaps • Represent Everfox at industry conferences, symposiums, and customer events as a technical evangelist and AI subject matter expert • Author white papers, blogs, technical guidance, reference architectures, and AI security best practices • Develop secure AI deployment guides, AI operational playbooks, GPU deployment standards, and joint solution packages • Deliver technical training and enablement programs for sales engineering, field sales, alliance teams, and product organizations
• Current Top Secret clearance preferred • SCI eligibility strongly preferred • Extensive knowledge of enterprise architecture, AI/ML systems, and secure technology environments • Strong experience with LLMs, RAG, AI agents, machine learning pipelines, Kubernetes, container technologies, GPU infrastructure, accelerated computing, hybrid cloud architecture, and edge computing • Understanding of Zero Trust Architecture, NIST standards, Risk Management Framework, Cross Domain Solutions, Multi-Level Security, Identity and PKI, Confidential Computing, Information Assurance, and Data Security • Ability to lead complex technical discussions with executive stakeholders and translate technical concepts into mission outcomes • Strong systems-thinking, collaboration, and problem-solving capabilities • Ability to work effectively in rapidly evolving technology environments with a customer-first mindset • Experience developing and presenting technical content for customers, partners, and industry audiences • Minimum 6–10 years of enterprise architecture or systems engineering experience • 3–5 years of experience designing, deploying, or operating production AI/ML environments • Experience supporting Department of Defense, Intelligence Community, or Federal Government organizations strongly preferred • Experience with classified computing environments preferred • Relevant professional certifications preferred, including NVIDIA Certified AI Professional or Solutions Architect, AWS Certified Solutions Architect – Professional, Microsoft Azure Solutions Architect Expert, Google Professional Cloud Architect, Red Hat Certified Architect, Certified Kubernetes Administrator (CKA), CISSP, GIAC Certifications, or TOGAF • Right to work in the location to which you have applied • May need to be a U.S. Person for positions subject to ITAR/EAR requirements
• Flexible PTO • 401k match • Contribution to healthcare coverages • Bonus plans
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