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HiddenLayer

Lead Engineer, AI Attack Simulation

RemoteUnited States only
Published
Role
Backend
Experience
Lead
Employment
Full-time
Company size
Startup
Salary not disclosedModel estimate · $180k–$230k/yrMedium confidence · 80 comparable rolesMedian $200k · Based on role, seniority, location, requirements, employment type, and work arrangement
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Hands-on Lead Engineer with 10+ years in software engineering, strong backend/distributed/cloud-native experience, and production AI or agentic systems background. Must be strong in Go plus one of Python, Rust, Java, or TypeScript. Needs cybersecurity product experience, especially offensive security, attack simulation, AI security, red teaming, penetration testing, or control validation.

Core skills

Go

Required skills

Python/Rust/Java/TypeScript

Optional skills

MITRE ATT&CKATLASOpenAI Agents SDKLangGraphAutoGen

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.

What they require

  • 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.
  • Preferred: Experience with AI red teaming, adversarial machine learning, AI security evaluation, or autonomous security testing.
  • Preferred: Direct experience with breach and attack simulation, adversary emulation, attack-path validation, or continuous security validation products.
  • Preferred: Experience using AI to support product research, prototype evaluation, customer-feedback synthesis, implementation, testing, and release decisions.
  • Preferred: Familiarity with MITRE ATT&CK and/or ATLAS and threat-informed defense.
  • Preferred: Experience with agent orchestration technologies such as OpenAI Agents SDK, LangGraph, AutoGen, or equivalent custom systems.
  • Preferred: Experience developing evaluation datasets, graders, traces, and regression frameworks for AI systems.
  • Preferred: Experience building secure sandboxes or constrained environments for executing potentially risky actions.
  • Preferred: Experience delivering enterprise, self-hosted, air-gapped, or regulated software.
  • Preferred: Previous responsibility for hiring and developing senior engineers.

Benefits

  • Fully Remote: We are a completely remote global team.
  • We are intentional about getting the team together a couple of times a year.
  • We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits.
  • With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person’s needs.
  • We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.

HiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. Founded by AI professionals and security specialists, the company develops a patent-pending productized solution to help organizations adopt AI securely.

CybersecurityStartup

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