Senior Product Manager, Abnormal Security

• 5–7+ 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
• Want to own a portfolio of product lines and their KPIs, and be accountable for meaningful customer and business outcomes—not just feature delivery
• Enjoy working at the intersection of AI, security, and user experience, helping customers stay ahead of sophisticated threats while keeping products intuitive and impactful
• Value high trust and high autonomy, and are excited to help shape both product strategy and the broader product management craft as Abnormal scales

Desirable

• Abnormal AI is looking for an ambitious and growth-minded Senior Product Manager to drive innovation across our flagship product lines
• As a Senior Product Manager, you are responsible for owning product definition, setting the initial product strategy, and building a 12‑month roadmap for one complex or multiple moderately complex product areas. You will lead cross-functional teams across Engineering, Design, Data, and GTM, and be the most knowledgeable person in the company for your product domains—trusted to represent them to leadership, GTM, and customers
• This is a high-ownership, high-autonomy role for a PM who can move seamlessly between customer problems, technical and AI-focused tradeoffs, and business outcomes, while raising the bar for product quality and execution across the organization
• Own strategy, roadmap, and outcomes for complex product areas - Define and evolve a 9–12 month roadmap for one or more complex, high-impact product surfaces, ensuring clear prioritization against customer value, security outcomes, and business impact
• Frame and solve high-ambiguity customer problems - Run discovery, design partnerships, and structured feedback programs to deeply understand customer pain, synthesize insights, and translate them into crisp problem statements, product briefs, and measurable outcomes
• Lead cross-functional execution from concept to adoption - Drive the end-to-end product lifecycle—from problem framing and PRDs to launch, instrumentation, and iteration—partnering closely with Engineering, Design, Data, Sales, and Customer Success to ship high-quality features at velocity
• Shape product strategy and GTM tactics - Contribute to divisional strategy and GTM plans, influencing how we position the product, sequence major initiatives, and tell the value story to customers, prospects, and internal stakeholders
• Own metrics, experimentation, and continuous improvement - Define and track KPIs for your product lines (e.g., adoption, engagement, incident reduction, revenue impact), run experiments, and use data to refine direction and inform investment decisions
• Represent your product externally and with leadership. Serve as the domain expert for your product areas on customer calls, escalations, executive reviews, and roadmap discussions—communicating clearly, managing trade-offs, and building trust across the organization
• Lead in an AI-native way of working - Use AI tools (e.g., ChatGPT/Claude, v0, analytics platforms) and rapid prototyping to accelerate discovery, research, documentation, and UX exploration—raising the standard for how product work gets done at Abnormal