Product Manager II, Detection

Role Overview

• Own focused product areas and two-quarter roadmap planning. Own product definition for focused areas, synthesize customer feedback and internal inputs, and help shape a medium-term roadmap across two or more confined product surface areas or one moderately complex area in alignment with team and company priorities.
• Drive discovery informed by customer and market insight. Partner with customers, field teams, and internal stakeholders to understand user needs, product pain points, and emerging opportunities, turning them into clear product hypotheses and prioritized work.
• Lead cross-functional execution from concept to launch. Partner with Engineering, Design, and Data Science to scope solutions, make tradeoffs, manage timelines, and ensure high-quality launches.
• Improve detection clarity and consistency across surfaces. Help shape how threats are categorized and grouped into campaigns, and improve consistency across customer-facing surfaces, including Threat Log, Detection 360, and related intelligence experiences.
• Support red teaming and validation efforts. Contribute to product work that strengthens confidence in detection quality by validating campaign detection and attribution against adversarial patterns and real-world attack behavior.
• Champion metrics, experimentation, and continuous improvement. Define and track product KPIs, analyze outcomes, and use data-informed iteration to improve product quality, customer value, and business impact.
• Partner closely with GTM and customer-facing teams. Work with Product Marketing, Sales, Customer Success, and Support to ensure successful launches, strong enablement, and tight feedback loops from the field back into the roadmap.
• Leverage AI and modern tooling for speed and clarity. Use AI-native tools and modern product workflows to accelerate research, documentation, prototyping, and decision-making.

Requirements

• 3-5 years of product management experience, or equivalent experience in a technical role such as software engineering, data/analytics, security operations, technical program management, or solutions engineering.
• Proven ability to work on technical products and collaborate closely with engineering teams.
• Demonstrated ability to structure ambiguous problems, define requirements, and drive execution across cross-functional partners.
• Strong analytical and problem-solving skills, with the ability to use both qualitative and quantitative inputs to make sound decisions.
• Excellent communication and collaboration skills, with the ability to present clearly to both technical and non-technical stakeholders.
• High ownership, attention to detail, and operational rigor across planning, documentation, and execution.
• A growth mindset and comfort operating in a fast-paced, evolving environment.
• Experience in enterprise SaaS or B2B environments, especially in security, infrastructure, or platform products. (Nice-to-Have)
• Prior exposure to cybersecurity, detection systems, fraud, trust and safety, or other adversarial domains. (Nice-to-Have)
• Experience working with Engineering and Data Science teams on technical or ML-adjacent products. (Nice-to-Have)
• Familiarity with classification systems, experimentation, model validation, or explainability-oriented workflows. (Nice-to-Have)
• Familiarity with tools such as Jira, Confluence, analytics platforms, Gong, Salesforce, and modern AI/UX prototyping tools. (Nice-to-Have)

Tech Stack

• Cyber Security

Benefits

• Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
• In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.