HiddenLayer

Support Engineer

• Own and resolve technically complex customer issues from initial report through root cause
• Troubleshoot across APIs, integrations, logs, and infrastructure (not just UI-level issues)
• Reproduce issues, isolate variables, and identify whether problems stem from configuration, usage, or product defects
• Partner closely with Engineering to escalate issues with clear, actionable context and debugging data
• Work with Product and Research to validate expected vs. actual system behavior
• Translate technical findings into clear, concise updates for customers
• Contribute to and improve internal runbooks, troubleshooting guides, and external documentation
• Identify patterns across tickets and proactively suggest product or process improvements
• Help maintain a customer-first culture through proactive communication and solution ownership

Technical Support Engineer

Data Scientist

• You're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and LLM-powered systems that sit at the core of our security products.
• This is a hands-on role on a small, focused team. You'll have real ownership over the models and pipelines you build, close collaboration with engineering and product, and the runway to go deep on the hard problems.
• Your work will span a few areas:
• Model development and research. Building classifiers, detectors, and scoring models on messy, high-stakes security data. Designing experiments, evaluating trade-offs, and iterating on architectures — not just hyperparameters.
• LLM agent systems. Shaping the prompts, context, tool-use patterns, and supporting content that drive our LLM agents.
• Production delivery. Shipping models behind real traffic, monitoring them, and improving them over time.
• Evaluation and iteration. Building the evaluation harnesses and feedback loops that let us know whether a change is actually an improvement — often the hardest part of the work. Our models only improve for customers when our evaluations highlight what really matters.

Controller

• Monthly close. You'll own close end-to-end — journal entries through published financials — with a target cadence of 10 business days monthly.
• Audit readiness and external audit. You'll stand up documentation and controls for external audit, partner with the CFO on firm selection, and manage fieldwork through to a clean opinion.
• The books. Full GL, AP, AR, treasury, payroll accounting, and revenue recognition. You'll have CFO partnership on technical accounting matters and external support available for heavier lifts (ASC 718, 340-40, SAFE conversion) as needed.
• Finance systems. You'll own the finance systems roadmap — GL, AP, expense, and billing tooling — and lead evaluations and migrations as the business scales. We want someone who has opinions here.
• Revenue recognition policy. SaaS subscription, some services, occasional non-standard deals, a reseller arrangement. You'll own the policy, review non-standard contracts before they close, and partner with RevOps on ARR tie-out.

Artificial Intelligence

• Conduct end to end penetration testing on AI systems, with a focus on predictive and generative AI models.
• Develop and execute adversarial attacks (e.g., evasion, poisoning, and inference attacks) to identify weaknesses in predictive models.
• Develop and execute adversarial attacks (e.g., jailbreak, hallucination, context leakage, etc.) to identify weaknesses in generative AI models and applications built on top of them.
• Collaborate with data scientists, engineering, and research teams to design and implement novel attacks and relate them back to actionable recommendations.
• Stay current with the latest AI security research, trends, and adversarial tactics.
• Produce detailed reports outlining vulnerabilities, risks, and actionable recommendations.
• Contribute to the development of internal tools and frameworks for AI red teaming.

Technical Support Engineer

Data Scientist

Controller

AI Red Teamer