
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.
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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.
• Build and maintain a prioritized website optimization roadmap aligned with business goals, product launches, campaign priorities and buyer needs. • Analyze visitor behavior, performance data and content engagement to identify friction and opportunity, and translate those insights into clear, testable hypotheses. • Plan, launch and evaluate A/B tests, multivariate tests and targeted audience experiences, measuring incremental impact against appropriate control experiences. • Improve conversion paths and build personalized experiences across product pages, landing pages, forms and other high-intent destinations, tailored to known visitors, target accounts and other priority segments. • Use web analytics, heatmaps, session behavior and qualitative insights to understand how different buyer groups interact with the website and build recurring reports connecting that behavior to qualified conversions, pipeline influence and business outcomes. • Identify meaningful performance differences across channels, accounts, industries and stages of the buyer journey. • Develop repeatable AI-assisted workflows, including reusable prompts, agents, templates and evaluation frameworks, to accelerate research, hypothesis generation, content evaluation and reporting, automating repetitive work while maintaining human review. • Recommend improvements to page structure, content clarity, internal linking and structured data to improve machine readability, and monitor traffic and behavior from AI assistants, answer engines and other emerging discovery sources. • Maintain documentation of hypotheses, experiments, results and learnings.
• Four or more years of experience in conversion-rate optimization, digital experience optimization, growth marketing, personalization, product analytics, web strategy or related discipline. • Demonstrated experience using behavioral and performance data to identify problems, develop hypotheses and deliver measurable website improvements. • Hands-on experience planning, executing and evaluating A/B tests or other controlled digital experiments. • Experience optimizing websites for conversion, engagement, customer acquisition, qualified demand or pipeline generation. • Strong working knowledge of web analytics, digital measurement, audience segmentation, funnel analysis and conversion reporting. • Practical experience using generative AI tools for research, analysis, content evaluation, workflow automation or optimization. • Experience working with web analytics and optimization platforms such as Adobe Analytics, VWO, Optimizely, Adobe Target or comparable tools. • Working knowledge of heatmaps, session analysis, form analytics, user behavior tools and qualitative customer insights. • Ability to interpret testing results and understand experiment design, control groups, confidence levels, sample size and performance variability. • Strong written and verbal communication skills, including the ability to turn complex analytical findings into clear recommendations.
• Health insurance • Professional development opportunities
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