Job Opportunities API

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. Role Overview We're looking for a Product Manager to own and drive automation within our detection and mitigation systems. This role sits at the intersection of product strategy, data analysis, and machine learning operations, you'll be responsible for identifying opportunities to automate threat response, validating those opportunities through rigorous data analysis, and working closely with data scientists and engineers to bring automation solutions to production. This is a hands-on, technically-oriented PM role. You'll spend significant time in the data yourself—validating hypotheses, understanding detection performance, and ensuring that automation investments deliver measurable impact against evolving attack patterns. Key Responsibilities Product Strategy & Roadmap Identify and prioritize automation opportunities based on attack trends, operational efficiency gains, and customer impact Define success metrics and track performance of automation features post-launch Build business cases grounded in quantitative evidence—expected detection improvements, false positive trade-offs, operational cost reductions Data Analysis & Opportunity Validation Conduct hands-on analysis of detection data, traffic patterns, and attack signatures to identify automation opportunities Work with telemetry and truth data to validate that proposed automation will perform as expected before engineering investment Cross-Functional Collaboration Partner with ML researchers & analysts to translate detection research into productized automation capabilities Work with engineering teams to scope, prioritize, and deliver automation features on schedule Collaborate with SOC and customer-facing teams to understand operational pain points and incorporate feedback into product direction Stakeholder Engagement Communicate automation strategy and progress to executives, customers, and internal stakeholders Gather customer feedback and market insights to inform product direction Support sales and solutions teams with technical context on automation capabilities Must Have 5+ years of product management experience in security, fraud prevention, or data-intensive B2B SaaS products Strong data analysis capability you're comfortable writing SQL, analyzing large datasets, and drawing actionable conclusions from ambiguous data Experience working with ML/data science teams : you understand how models are trained, validated, and deployed, and can translate research into product requirements Hands-On Technical Drive :You are able to  leverage LLMs and tools like Claude Code for analysis, prototyping and understanding code, and take ownership of complex problems, driving solutions forward with resourcefulness and urgency Technical fluency: able to engage deeply with engineers on system design, trade-offs, and feasibility Proven ability to define and ship products from concept through launch, with measurable business impact Excellent communication skills: able to articulate complex technical concepts to diverse audiences and build alignment across stakeholders Nice to Have Experience in bot detection, fraud prevention, or cybersecurity domains Familiarity with detection systems, classification pipelines, or anomaly detection Proficie