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Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Director of Engineering - Webapp & AI Attack

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Significant experience leading software engineering teams that build customer-facing products, ideally in cybersecurity, security testing, or another technically complex SaaS domain.
  • Experience leading multiple teams and developing managers and senior technical leaders, with a track record of building accountable, high-performing organizations.
  • Demonstrated ability to set strategy and deliver across multiple teams, translating business and customer priorities into focused roadmaps and measurable outcomes.
  • Strong technical judgment in software architecture, automation, distributed systems, and production operations, with the ability to engage credibly with engineers and technical leaders.
  • Experience taking complex capabilities from early research or concept through reliable production delivery and ongoing improvement.
  • A customer-oriented product mindset and sound judgment balancing innovation, coverage, reliability, safety, delivery speed, and maintainability.
  • Ability to build effective partnerships across Engineering, Product, and customer-facing teams, resolve misalignment, and communicate decisions and risks clearly.
  • A demonstrated commitment to coaching, clear performance feedback, inclusive leadership, and healthy team culture.
  • Written, verbal, and analytical communication skills, including the ability to explain complex technical choices to varied audiences.
  • A high degree of initiative, ownership, and accountability, and comfort operating in a fast-moving environment with ambiguity.
  • A bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Familiarity with offensive security, web application penetration testing, vulnerability research, attack automation, or building security products.
  • Working knowledge of modern web application architecture, HTTP, authentication and session flows, APIs, browser automation, and the challenges of testing real-world applications at scale.
  • Familiarity with AI/LLM and agentic-system security, including trust boundaries, tool-use risks, and approaches to evaluating AI-enabled systems.
  • Experience with cloud software and production platforms, and fluency in at least one modern programming language such as Python, TypeScript, Go, or a comparable language.
  • Understanding of engineering practices such as CI/CD, automated testing, observability, incident response, and operational readiness.

Responsibilities

  • Lead and develop the Webapp and AI Attack engineering teams, setting clear ownership, goals, and expectations across the portfolio.
  • Define a coherent strategy and roadmap connecting customer needs, product priorities, offensive research, and durable engineering investments.
  • Build an effective leadership structure as the organization grows; hire, coach, and develop engineering managers, technical leaders, and senior individual contributors.
  • Set operating mechanisms that make outcomes, progress, capacity, quality, dependencies, and risks visible without unnecessary process.
  • Own the health and performance of the organization, including talent planning, career development, timely feedback, accountability, and succession planning.
  • Foster an inclusive, psychologically safe environment where teams can raise risks, learn from failures, and do their best work.
  • Set direction for NodeZero’s web application attack portfolio, spanning application discovery, crawling and browser automation, authentication and session handling, attack coverage, and feedback between discovery and testing.
  • Ensure the platform reliably maps pages, forms, APIs, parameters, and authentication surfaces across modern applications, including JavaScript-heavy single-page applications and complex user flows.
  • Partner with technical leaders to improve attack coverage, framework breadth, and the quality of application context available to downstream testing.
  • Establish benchmarks, regression practices, and production signals that reveal coverage gaps and prevent quality from silently degrading as applications and frameworks evolve.
  • Use customer feedback, production behavior, and missed opportunities to prioritize improvements and close the loop between discovery, testing, and customer outcomes.
  • Set the strategy for turning AI/LLM and agentic-system security research into safe, reliable, repeatable attack capabilities in NodeZero, rather than one-off demonstrations or manual-only workflows.
  • Guide teams in assessing AI applications and infrastructure, including trust boundaries, permissions, tool use, data sources, model-serving and retrieval architectures, and enterprise deployment patterns.
  • Help teams evaluate and productize relevant attack classes, such as prompt injection, unsafe tool use, and AI supply-chain or deployment risks, with appropriate safeguards and clear customer value.
  • Establish quality standards for testing, evaluation, reliability, observability, cost management, and operational readiness in AI-powered offensive workflows.
  • Maintain a strong connection to the evolving AI security landscape and help the organization distinguish durable customer needs from short-lived trends.
  • Partner with Product and leaders across Engineering, Platform, and customer-facing functions to translate ambiguous opportunities into sequenced plans with explicit outcomes and ownership.
  • Make and communicate tradeoffs across customer impact, speed, coverage, reliability, safety, cost, and long-term maintainability.
  • Drive complex, cross-team initiatives from planning through production, identifying dependencies and risks early and aligning stakeholders on decisions and changes.
  • Maintain sufficient technical depth to evaluate architecture, system health, and engineering quality, partnering with senior individual contributors rather than becoming a day-to-day decision bottleneck.
  • Ensure strong engineering practices across design, implementation, testing, release, monitoring, incident response, and learning from production issues.
  • Use customer feedback and product and engineering signals to assess results and continuously improve how the organization delivers.

Desired Qualifications

  • Direct leadership experience across both web application security and AI/LLM security; deep expertise in one area paired with the ability to build strong technical leadership in the other is also valuable.
  • Experience with web crawling, spidering, browser automation, application discovery, or authentication technologies such as SSO, SAML, or OIDC.
  • Experience shipping AI/LLM security capabilities, building agentic workflows, or applying frameworks such as OWASP Top 10 for LLM Applications or MITRE ATLAS.
  • Contributions to security research, open-source tooling, technical publications, conference talks, or other work that advances the field.
  • Experience with cloud providers such as AWS, Azure, or GCP; graph or relational databases such as Neo4j or PostgreSQL; or offensive security certifications such as OSCP, OSEP, or OSWE.

About the Company

Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Horizon3.ai specializes in cybersecurity by offering NodeZero, a SaaS platform for autonomous penetration testing. It lets enterprises simulate cyber-attacks on their own systems in a self-service way, without installing persistent agents, and without ongoing human intervention. The platform works by running security-focused attack simulations in production environments to uncover exploitable vulnerabilities and weak controls, delivering vulnerability assessments, threat simulations, and compliance-oriented testing through tiered subscription plans. This approach differentiates Horizon3.ai from traditional pentesting by being self-service, agentless, and safe to run in live environments, while targeting enterprise customers that must meet standards such as PCI DSS. The company aims to help organizations improve their security posture, prioritize remediation, and maintain regulatory compliance by continuously identifying and fixing weaknesses.

Company size
501-1,000
Company stage
Series E
Total funding
$437M
Headquarters
San Francisco, CA
Founded
2019

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