Senior Product Manager

Abnormal AI is a fast-growing cybersecurity company focused on protecting customers from complex cyberattacks. They are seeking a Senior Product Manager to drive innovation across flagship product lines, owning product definition, strategy, and roadmap while leading cross-functional teams to deliver high-quality features.

Responsibilities:

• Own strategy, roadmap, and outcomes for complex product areas
• Frame and solve high-ambiguity customer problems
• Lead cross-functional execution from concept to adoption
• Shape product strategy and GTM tactics
• Own metrics, experimentation, and continuous improvement
• Represent your product externally and with leadership
• Lead in an AI-native way of working
• (Optional, depending on role) Mentor or manage other PMs

Requirements:

• 7+ years of product management experience in software, with a strong track record of owning complex product areas end-to-end in B2B SaaS or similarly technical domains
• Proven experience working on deeply technical products, collaborating closely with engineering on architecture, scalability, or AI/ML–driven features, and reasoning through technical tradeoffs and constraints
• Demonstrated ability to own product strategy, definition, and roadmap for a product line or multiple complex surfaces—including problem framing, opportunity sizing, prioritization, and success metrics
• Strong analytical and problem-solving skills, with comfort using data (dashboards, experiments, or SQL/analysis in partnership with Data) to inform decisions and refine product direction in ambiguous spaces
• Excellent communication and cross-functional leadership, with the ability to drive alignment across Engineering, Design, GTM, and executives, and to represent the product in high-stakes or customer-facing scenarios
• High ownership, operational excellence, and attention to detail across documentation, planning, stakeholder management, and launch execution
• A growth mindset and willingness to learn quickly in a fast-paced, AI-native environment, including integrating new tools and workflows into your day-to-day product practice
• Experience in enterprise SaaS / B2B environments, ideally in cybersecurity, security operations, identity, posture management, or adjacent technical domains
• Prior experience working as a software engineer, data scientist, or similarly technical role, or equivalent hands-on experience with complex distributed systems or AI-driven products
• Experience with data analysis and experimentation (e.g., comfort working with analytics tools, experimentation platforms, or SQL in partnership with Analytics)
• Familiarity with AI-native workflows and rapid prototyping tools (e.g., Claude/ChatGPT, v0, Figma) to speed up discovery, ideation, and validation
• Background working closely with GTM teams (Sales, Marketing, Customer Success, Support) on launches, enablement, and customer-facing messaging and demos