Lead Engineer, AI Attack Simulation

Lead Engineer, AI Attack Simulation

Remote [within the US]

HiddenLayer is seeking a hands-on Lead Engineer, AI Attack Simulation to own the technical direction and execution of our attack simulation product. You will lead the architecture and development of systems that translate adversarial AI research and real-world attack techniques into safe, repeatable, and measurable security testing capabilities.

You will partner closely with Product Management and Security Research to shape product strategy, understand customer problems, evaluate opportunities, and define the outcomes the team is working toward. This role is designed for a product-minded engineering leader who goes beyond receiving requirements and solving tickets, helping determine what we should build, why it matters, and how we will measure its success.

You will also establish an AI-first product development workflow, applying AI across discovery, research, solution design, prototyping, implementation, validation, and continuous improvement. The ideal candidate combines deep software engineering experience, cybersecurity expertise, agentic-systems judgment, and the leadership ability to mentor engineers and raise the technical and product ownership of the entire team.

HiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

• Own the technical direction, architecture, and execution of HiddenLayer’s AI Attack Simulation product.

• Partner with Product and Security Research to define product strategy, understand customer outcomes, shape the roadmap, and translate adversarial AI techniques into safe, scalable product capabilities.

• Design and build agentic workflows, tool integrations, execution systems, guardrails, and evaluation frameworks.

• Establish an AI-first product development workflow that uses AI across discovery, customer and market research, solution design, prototyping, implementation, validation, release, and continuous improvement.

• Ensure engineers understand the customer problem and intended outcome, contribute to product decisions, and take ownership beyond ticket execution.

• Remain hands-on with critical architecture, prototyping, implementation, and complex technical problem-solving.

• Mentor engineers, lead technical reviews, support hiring, and raise standards for reliability, security, observability, and product quality.

• 10+ years of professional software engineering experience, including technical leadership of complex production systems.

• Strong backend, distributed-systems, and cloud-native engineering experience.

• Demonstrated experience building an AI-first product development workflow that involves engineers throughout product discovery, strategy, solution definition, implementation, validation, and outcome measurement.

• A track record of leading teams beyond ticket-based execution toward direct ownership of customer problems, product tradeoffs, and measurable outcomes.

• Experience building production AI or agentic systems involving tool use, orchestration, structured outputs, state management, guardrails, and