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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.
About the Detection Team
Detection is the core engine behind Arkose Titan. This team builds and runs the real-time services that process hundreds of millions of sessions a day, combining hundreds of signals, device and behavioral data, IP reputation, and increasingly agentic AI classification, to make risk decisions and enrich data in milliseconds. Its high-throughput, low-latency systems work, with real adversaries on the other side actively trying to break what you build.
What You'll be Doing
Own complex detection features end to end, from ambiguous requirements through architecture, implementation, and production rollout
Build and extend high-throughput, low-latency services that process device, behavioral, and risk signals at global scale
Work across the stack, from browser-side telemetry through backend services to the data pipelines that feed our detection models
Work cross-functionally with SRE, product, and other engineering teams that depend on detection signals, owning your services from spec through on-call
Design automated testing strategies that catch regressions before adversaries do
Weigh in on architecture and technical direction for the systems your team owns, including how new detection capabilities like agentic AI classification get built
Mentor P1/P2 engineers and help raise the technical bar across the team
Contribute to hiring through technical interviews and candidate evaluation
Must Have
5+ years building production backend services in Go, Python, Node.js, or Java (4+ years with a Master's degree)
Hands-on daily use of AI coding tools such as Claude Code, GitHub Copilot, or Cursor as part of how you build software. This is a working requirement, not a nice to have. You should already have a workflow for using AI tools to write, test, review, and debug code faster, and be ready to help the team build better ones
Strong experience with cloud-hosted microservices and distributed systems at scale
Solid database experience across relational and NoSQL systems
Working knowledge of web and HTTP fundamentals, including DNS, TLS, caching, and CDNs
Experience designing and driving automated testing strategies
Comfort taking ambiguous problems and turning them into shipped, reliable systems
Experience working in agile teams (Scrum or Kanban)
Nice to Have
Machine learning background, such as model integration, feature engineering, or applied ML in a fraud, risk, or trust context
Frontend experience (React or similar) for full-stack detection tooling
Experience with containers and orchestration (Docker, Kubernetes)
Exposure to CI/CD pipeline design, ideally with AI-assisted test generation or code review
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'll partner with these influential brands, tackling the most demanding technical challenges to safeguard hundreds of millions of users worldwide.
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
Beautiful office space with many perks
Robust benefits package
Gym Stipend
Provident Fund
Accident Insurance
Hybrid office model with flexible working hours and work from home days to support personal well-being and mental health
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.