Lead Engineer, AI Attack SimulationRemote [within the US]
ABOUT THE ROLE: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.
WHAT YOU'LL DO:- 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.
WHO YOU ARE:- 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 evaluation.
- Cybersecurity product experience or closely related experience in offensive security, attack simulation, AI security, red teaming, penetration testing, or control validation.
- Strong proficiency in Go and experience with at least one additional production language such as Python, Rust, Java, or TypeScript.
- Strong product judgment and experience partnering directly with Product Management.
- Demonstrated ability to mentor engineers, influence technical direction, and lead through ambiguity.
WHO YOU ARE (PREFERRED):- Experience with AI red teaming, adversarial machine learning, AI security evaluation, or autonomous security testing.
- Direct experience with breach and attack simulation, adversary emulation, attack-path validation, or continuous security validation products.
- Experience using AI to support product research, prototype evaluation, customer-feedback synthesis, implementation, testing, and release decisions.
- Familiarity with MITRE ATT&CK and/or ATLAS and threat-informed defense.
- Experience with agent orchestration technologies such as OpenAI Agents SDK, LangGraph, AutoGen, or equivalent custom systems.
- Experience developing evaluation datasets, graders, traces, and regression frameworks for AI systems.
- Experience building secure sandboxes or constrained environments for executing potentially risky actions.
- Experience delivering enterprise, self-hosted, air-gapped, or regulated software.
- Previous responsibility for hiring and developing senior engineers.
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