SecurityScorecard

SecurityScorecard

SecurityScorecard is a cybersecurity company that provides a powerful AI-driven platform to identify and eliminate cyber risks across all attack surfaces.

IT Services
251-1K
Founded 2014
$292M raised

Description

  • Lead the design and delivery of major AI-powered product initiatives from concept through production, owning the full software development lifecycle.
  • Define the technical architecture for AI systems, including LLM pipelines, agentic workflows, retrieval infrastructure, and evaluation frameworks.
  • Set engineering standards for building with AI, including development practices, tooling choices, and quality bars.
  • Use AI-native development tools as core instruments and model high-velocity, high-quality AI-augmented engineering practices.
  • Collaborate with product leadership and the CTO organization to shape the AI product roadmap.
  • Drive architecture reviews, establish cross-team engineering standards, and raise the technical level of partner teams.
  • Identify and remove bottlenecks in how AI features are built, tested, and shipped across the organization.
  • Operate with staff-level ownership across the full problem space, not just a narrow functional area.

Requirements

  • 7+ years of software engineering experience with a track record of leading complex, high-impact technical projects end to end.
  • Demonstrated ability to operate independently across the full product development lifecycle, from problem definition through production operations.
  • 3+ years building and shipping AI-powered product features in production, including LLM integration, agentic systems, or intelligent automation.
  • Strong product instincts with the ability to focus on user problems and business outcomes, not just technical implementation.
  • Proficiency in TypeScript and strong backend engineering fundamentals, with experience in distributed systems at scale.
  • Fluency with AI-native development workflows such as Cursor or Claude Code, or equivalent tools, as a primary engineering practice.
  • Cloud infrastructure experience, with AWS preferred, and comfort working across the full production stack.
  • Exceptional communication skills and the ability to drive alignment across product, engineering, and executive stakeholders.
  • Prior experience in a Staff or Principal engineering role with cross-team technical influence is preferred.
  • Background in cybersecurity, threat intelligence, or enterprise risk products is preferred.
  • Experience building and operating agentic AI systems, multi-agent orchestration, or LLM evaluation infrastructure is preferred.
  • Experience defining engineering standards or leading technical strategy at the organizational level is preferred.
  • Experience in high-growth Series C/D+ companies where engineering velocity and quality both matter is preferred.

Benefits

  • Estimated total compensation range of $170,000 to $200,000 base plus bonus.
  • Annual performance-based incentive compensation awards.
  • Equity eligibility in addition to base salary.
  • Stock options.
  • Health benefits.
  • Unlimited PTO.
  • Parental leave.
  • Tuition reimbursement.

Interested in this position?

Apply directly on the company website

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