Head of Product Management

Abstract is seeking a Head of Product Management to lead the product vision and execution for their AI-native security data platform. The role involves driving product strategy, engaging with customers, and shaping the future of SIEM and security data platforms through innovative architectures and AI integration.

Responsibilities:

• Own and drive product strategy across Abstract’s platform, from data ingestion and pipelines to in-stream detection and AI-driven SOC workflows
• Translate the shift from monolithic SIEM to modular, composable architectures into a clear, opinionated product direction
• Work directly with customers (CISOs, SOC leaders, practitioners) to build real solutions to real detection and response problems
• Lead and scale the product management team while staying hands-on in architecture, design, and prioritization
• Partner closely with engineering to deliver high-performance, streaming-based detection capabilities at scale
• Shape how AI is embedded into the SOC, not as a bolt-on, but as a core part of detection, triage, and response
• Act as a thought leader in the market, helping define the future of SIEM and security data platforms

Requirements:

• Deep SIEM expertise (non-negotiable)
• You've built, operated, or significantly evolved SIEM platforms (Splunk, ArcSight, Exabeam, Securonix, etc.) and understand their limitations firsthand
• Strong understanding of: Security data pipelines and telemetry (EDR, identity, SaaS, cloud, network)
• Detection engineering and threat detection workflows
• Tradeoffs between centralized, federated, and decoupled architectures
• Experience building products in high-scale, data-intensive environments
• Ability to think in terms of systems and architecture, not just features
• Strong point of view on where the market is going (AI, streaming detection, composability)
• You believe 'Next-Gen SIEM is not a SIEM'—and can articulate what replaces it
• You've lived the pain of cost, scale, and latency in legacy SIEMs
• You understand that the future is: Real-time / in-stream detection, Composable architectures, AI-native SOC workflows
• You can go toe-to-toe with: Engineers on architecture, Customers on operations, Executives on strategy