前向部署工程师
Forward Deployed Engineer
首席前线部署工程师在客户成功、解决方案工程、网络安全、数据工程和人工智能驱动的自动化之间进行协作。该职位直接与美国电力公用事业和政府客户合作，解决紧迫的网络和运营风险挑战，同时将这些经验转化为可重复使用的产品化能力。人工智能辅助的网络威胁正在增加对快速、客户特定分析的需求。客户需要了解其现有防御是否能够抵御机器速度的漏洞发现、利用分析和攻击路径评估。
该职位通过嵌入式、实践性的工程来满足这一需求：快速理解客户的流程、系统、数据、网络安全状况和约束条件，然后在批准的客户或安全环境中交付可行的解决方案。这是一个资深的高级个人贡献者职位，向客户成功部门汇报。对于希望在关键基础设施的AI时代网络安全防御前线工作的高级技术专家来说，这是一个理想的机会，结合深入的技术交付与高管级别的客户影响和商业判断。
任务
- 直接与美国电力公用事业和政府客户合作，降低网络风险，提高可见性，并应对人工智能辅助的威胁。
- 快速理解客户的流程、系统、数据、网络安全状况和业务约束。
- 协助客户回答紧急的网络安全问题，例如哪些产品、供应商、组件、资产或供应链关系可能受到新宣布的威胁或漏洞的影响。
- 访问、导出、标准化并比较客户数据，涵盖漏洞管理、端点检测、网络拓扑、攻击路径工具、资产清单、软件物料清单（SBOM）、业务影响分析和供应链映射。
- 编写安全、以结果为导向的代码，包括代理工作流和批处理作业，以便在批准的客户或安全环境中快速揭示洞察。
- 将定制的客户工作转化为产品需求，由产品管理团队正式转化为可扩展的软件功能。
- 通过展示客户价值、塑造可重复使用的用例，并将服务驱动的问题解决连接到嵌入式平台功能，识别扩展机会。
- 向客户高管、技术团队和内部利益相关者清晰地呈现发现。
要求
- 7-10
查看英文原文
The Principal Forward Deployed Engineer operates at the intersection of customer success, solution engineering, cybersecurity, data engineering, and AI-enabled automation. This role works directly with
U.S. power utility and government customers to solve urgent cyber and operational risk challenges while turning those learnings into repeatable, productized capabilities. AI-assisted cyber threats are increasing demand for rapid, customer-specific analysis. Customers need to know whether their current defenses can withstand machine-speed vulnerability discovery, exploitation analysis, and attack path evaluation.
This role addresses that need through embedded, hands-on engineering: quickly understanding customer processes, systems, data, cyber posture, and constraints, then delivering working solutions in approved customer or secure environments. This is a seasoned, principal-level individual contributor role reporting into Customer Success. This is an ideal opportunity for a senior technologist who wants to work on the front line of AI-era cyber defense for critical infrastructure, combining deep technical delivery with executive-level customer impact and commercial judgment.
Tasks
- Work directly with U.S. power utility and government customers to reduce cyber risk, improve visibility, and respond to AI-assisted threats.
- Quickly understand customer processes, systems, data, cyber posture, and business constraints.
- Help customers answer urgent cyber questions, such as which products, vendors, components, assets, or supply chain relationships may be impacted by a newly announced threat or vulnerability.
- Access, export, normalize, and compare customer data across vulnerability management,
- endpoint detection, network topology, attack path tooling, asset inventories, software bills of materials (SBOMs), business impact analysis, and supply chain mapping.
- Write secure, outcome-focused code, including agentic workflows and batch jobs, to surface insights quickly in approved customer or secure environments.
- Convert bespoke customer work into product requirements that Product Management can formalize into scalable software capabilities.
- Identify expansion opportunities by demonstrating customer value, shaping repeatable usecases, and connecting services-led problem solving to embedded platform capabilities.
- Present findings clearly to customer executives, technical teams, and internalstakeholders.
Requirements
- 7-10 years experience combining software/data engineering, cybersecurity analysis, and customer-facing solution engineering at a senior or principal level.
- Hands-on experience developing AI-agentic workflows (LLM-based automation, agent orchestration, retrieval-augmented pipelines, or similar).
- Demonstrated ability to access, normalize, and analyze large, messy, multi-source data sets to answer urgent operational questions.
- Ability to write pragmatic, secure, production-appropriate code (e.g., Python or similar) in constrained or regulated environments.
- Strong executive communication skills, including presenting complex technical findings to customer leadership.
- Ability to operate independently in embedded customer environments and manage competing priorities.
- Must be eligible for a U.S. security clearance; successful completion of a background check is required.
Experience with U.S. electric utilities or other critical infrastructure sectors.
Familiarity with OT/ICS environments and their operational and remediation constraints.
Knowledge of NERC CIP or comparable regulatory frameworks.
Experience with vulnerability management, attack path analysis, and endpoint/security tooling.
Experience with supply chain risk management (SCRM), SBOM/VEX analysis, and third- party risk workflows.
Commercial judgment: shaping repeatable use cases and identifying expansion
opportunities.
Bachelor'sdegree in computer science, engineering, cybersecurity, or a related field
required.
Advanced degree or relevant certifications (e.g., security or cloud) preferred.
Benefits
Remote work, United States
Originally posted on Himalayas