Senior Product Manager

About this role

<div class="content-intro"><p>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.</p></div><h2><span style="font-size: 10pt;"><strong>Role Overview</strong></span></h2> <p><span style="font-size: 10pt;">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.</span></p> <p><span style="font-size: 10pt;">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.</span></p> <h2><span style="font-size: 10pt;"><strong>Key Responsibilities</strong></span></h2> <p><span style="font-size: 10pt;"><strong>Product Strategy & Roadmap</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Identify and prioritize automation opportunities based on attack trends, operational efficiency gains, and customer impact</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Define success metrics and track performance of automation features post-launch</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Build business cases grounded in quantitative evidence—expected detection improvements, false positive trade-offs, operational cost reductions</span></li> </ul> <p><span style="font-size: 10pt;"><strong>Data Analysis & Opportunity Validation</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Conduct hands-on analysis of detection data, traffic patterns, and attack signatures to identify automation opportunities</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Work with telemetry and truth data to validate that proposed automation will perform as expected before engineering investment</span></li> </ul> <p><span style="font-size: 10pt;"><strong>Cross-Functional Collaboration</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Partner with ML researchers & analysts to translate detection research into productized automation capabilities</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Work with engineering teams to scope, prioritize, and deliver automation features on schedule</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Collaborate with SOC and customer-facing teams to understand operational pain points and incorporate feedback into product direction</span></li> </ul> <p><span style="font-size: 10pt;"><strong>Stakeholder Engagement</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Communicate automation strategy and progress to executives, customers, and internal stakeholders</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Gather customer feedback and market insights to inform product direction</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Support sales and solutions teams with technical context on automation capabilities</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Must Have</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>5+ years of product management experience</strong> in security, fraud prevention, or data-intensive B2B SaaS products</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Strong data analysis capability</strong> you're comfortable writing SQL, analyzing large datasets, and drawing actionable conclusions from ambiguous data</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Experience working with ML/data science teams</strong>: you understand how models are trained, validated, and deployed, and can translate research into product requirements</span></li> <li style="font-size: 10pt;"><span style="font-size:…