SecurityScorecard

Senior Product Manager, AI

SecurityScorecard

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $150,000 - $200,000 per year

Job Level

About the role

  • 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.
Benefits
  • Health benefits
  • Unlimited PTO
  • Parental leave
  • Tuition reimbursements
  • Stock options
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI product managementsoftware development lifecycleproduct architectureLLM pipelinesagentic workflowsretrieval infrastructureevaluation frameworksAI feature deploymentdistributed systemsintelligent automation
Soft Skills
leadershipcollaborationproblem-solvingcommunicationindependenceproduct instinctsalignment drivingtechnical fluencyquality standards settingbottleneck identification