Arkose Labs is on a mission to create an online environment where all consumers are protected from spam and abuse. As a Fast Company 2025 Best Workplace for Innovators, we provide a proactive fraud deterrence platform, Arkose Titan, designed to neutralize modern attacks powered by Agentic AI and LLMs. By combining proprietary intelligence with dynamic friction, we undermine attacker ROI to protect global giants like Microsoft, Meta, and Roblox. Headquartered in San Mateo, CA, we maintain a global presence across APAC, Central and South America, and EMEA. Position Summary Your primary focus for this position is to analyze the web traffic coming through our customers’ endpoints, detect attack patterns, and funnel the attackers through appropriate channels to ultimately bankrupt their efforts in attacking our customers. This position is a customer support/escalation role. You will work closely with our Technical Account Managers, Solutions Engineers, Data Scientists, etc. to provide an amazing customer experience, as well as prevent different fraud attacks across many industries. You will get to work with industry leaders and some of the smartest minds in fraud and abuse prevention. Primary Responsibilities - This role is comparable to a Data Analyst focused on security signal processing. - Analyze web traffic patterns on critical endpoints (login, account creation, etc..) - Collect and interpret data to differentiate legitimate vs. suspicious traffic - Identify attack signatures with high accuracy, apply the most effective challenge strategy, and anticipate the attacker's next move - Define new data collection and analysis processes to more efficiently detect attack patterns - Report results back to the relevant members of the business (technical account managers, other Arkose staff or client staff) - Develop and deliver customer-facing reports - Work alongside teams within the business or the management team to establish business needs - Collaborate with internal organizations on projects and initiatives - Identify and document process improvements - Take part in the on-call rotation to support off-hours escalation Schedule Details - This role is a full-time position, 38 hours per week - This role is a Weekend Specialist - Schedule: Friday to Monday. - This is a compressed schedule (across 4 days), leaving Tuesday–Thursday free. A strong fit for people with weekday commitments (school, family, etc.) Must Haves - 3+ years of Data or Support Analyst experience, preferably in a SaaS company - Customer support and escalation experience - Strong understanding of information security - Previous experience supporting web security product to protect against bots, fraud or abuse - Working knowledge of HTML, JavaScript, XML - Ability to quickly learn and support new technologies - Self-motivated with demonstrated problem-solving skills - Strong Python scripting experience - Strong attention to detail - Team player, willing to learn, research, and teach others - Excellent written and verbal communication skills - Strong work ethic, customer focus, and winning attitude! Nice-to-haves - Computer Science, Mathematics, Statistics, Information Systems, Economics Degree or Equivalent Why Arkose Labs? At Arkose Labs, our technology-driven approach enables us to make a substantial impact in the industry, supported by a robust customer base consisting of global enterprise giants such as Microsoft, Roblox, and more. We’re not just a company; we’re a collaborative ecosystem where you will actively partner with these influential brands, tackling the most demanding technical challenges to safeguard hundreds of millions of users across the globe. Why do top tech professionals choose Arkose Labs? Cutting-Edge Technology: Our high-efficacy solutions, backed by solid warranties, attract leading, global enterprise clients.Innovation and Excellence: We foster a culture that emphasizes technological innovation and the pursuit of excellence, ensuring a balanced and thriving work environment.Experienced Leadership: Guided by seasoned executives with deep tech expertise and a history of successful growth and equity events.Ideal Size: We’re structured to be agile and adaptable, large enough to provide stability, yet small enough to value your voice and ideas. Join us in shaping the future of technology. At Arkose Labs, you’re not just an employee; you’re part of a visionary team driving global change The most recognizable brands in the world select Arkose Labs, including Roblox, Microsoft, Adobe, Expedia, Snap and Meta. We value your unique contributions, perspectives, and experiences. Be part of a diverse and high-performing environment that prioritizes collaboration, excellence, and inclusion. We hire the best, focus on their professional development, and offer support for continuing education. We value: - People: first and foremost, they are our most valuable resource. Our people are independent thinkers who make data driven decisions and take ownership and accountability in all the things they do. - Teamwork. We demonstrate respect, trust, integrity, and communicate openly with a positive can do attitude and constructively challenge one another - Customer Focus. We empathize with our customers and obsess about solving their problems - Execution with precision, professionalism, and urgency - Security. It’s the lens through which we implement our processes, procedures, and programs Benefits: - Competitive salary + Equity - Flexible hardware options (e.g. Mac, Linux) - Flexible working hours to support personal well-being and mental health - EAP (Employee Assistance Program) Arkose Labs is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Arkose Labs will provide reasonable accommodations for qualified individuals with disabilities. #LI-Remote, #LI-Associate

Security Analyst - Weekend Shift (Data Analyst)

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