Senior Product Manager, AI

SecurityScorecard is the global leader in cybersecurity ratings, with a commitment to enhancing the resilience of organizations against cybersecurity risks. They are seeking a Senior Product Manager to lead AI-powered product initiatives, defining product architecture and collaborating with engineering leadership to deliver high-quality AI solutions.

Responsibilities:

• Lead the design and delivery of major AI-powered product initiatives from concept through production, owning the full software development lifecycle
• Define the product architecture for AI systems at SecurityScorecard: LLM pipelines, agentic workflows, retrieval infrastructure, and evaluation frameworks
• Set the standard for how the organization builds with AI, including development practices, tooling choices, and quality bars
• Use Cursor, Claude Code, and AI-native development tools as core instruments, and model what high-velocity, high-quality AI-augmented product delivery looks like for the team
• Collaborate directly with engineering leadership and the CTO organization to shape the AI product roadmap
• Drive architecture reviews, establish cross-team product standards, and elevate the technical level of the teams you work with
• Identify and eliminate bottlenecks in how AI features get defined, built, tested, and shipped across the organization
• Operate with Staff-level ownership: you see the whole problem, not just your part of it

Requirements:

• 7+ years of product management experience with a track record of leading complex, high-impact product initiatives end-to-end
• Demonstrated ability to operate independently across the full product development lifecycle, from problem definition through production operations
• 1-2+ years working on and shipping AI-powered product features in production, including LLM integration, agentic systems, or intelligent automation
• Strong product instincts: you think about user problems and business outcomes, not just requirements and roadmaps
• Technical fluency sufficient to engage deeply with engineering on architecture, distributed systems, and product tradeoffs
• Fluency with AI-native development workflows (Cursor, Claude Code, or equivalent) as a primary practice, not an experiment
• Comfort with the full production stack: you understand what it takes to deploy and operate AI features at scale
• Exceptional communication: able to drive alignment across product, engineering, and executive stakeholders
• Prior experience in a Staff PM, Group PM, or Principal PM role with cross-team influence
• Background in cybersecurity, threat intelligence, or enterprise risk products
• Experience defining product strategy for agentic AI systems, multi-agent orchestration, or LLM evaluation infrastructure
• Track record of defining product standards or leading technical roadmap at the organizational level
• Experience in high-growth, Series C/D+ companies where product velocity and quality both matter