高级解决方案工程师
Principal Solutions Engineer
加入Hire Hangar，与快速发展的全球公司合作，同时建立长期职业发展。
职位名称：高级解决方案工程师
地点：远程办公
时区：美国时区（EST–PST）
职位概述
我们正在寻找一位高级解决方案工程师，指导企业客户进行人工智能准备计划和大规模非结构化数据转换。该职位负责技术生命周期的全过程——从架构设计、价值验证交付到生产成功和扩展。你将在复杂的 enterprise 环境中工作，确保性能、治理和可衡量的投资回报率。
主要职责
- 将客户的 AI、合规性和数据治理目标转化为可扩展的技术架构
- 在本地和云生态系统中设计分阶段部署策略
- 执行并管理具有明确成功指标的价值验证项目
- 主持技术研讨会和利益相关者对齐会议
- 优化系统性能，验证吞吐量，并确保生产就绪
- 编写技术文档和企业部署的最佳实践
- 提供结构化的客户洞察，以影响产品路线图决策
所需资格
- 在 SaaS、AI 或基础设施领域的企业售前或面向客户的工程角色中有丰富经验
- 对混合基础设施、存储系统和云平台（AWS、Azure、GCP）有深入了解
- 在安全架构、身份和访问管理（IAM）及治理框架方面有扎实的基础
- 有在大规模非结构化数据和合规敏感环境中的工作经验
- 能够向 C 级高管清晰地展示技术和业务价值
- 对 AI 数据流水线、准备度评估和治理控制有实际理解
- 必须有远程工作经验，熟练使用远程协作工具和平台（如 Slack、Zoom、Google Workspace、Asana 或类似工具），并且最好曾与美国或英国的公司合作。没有此经验的申请将不被考虑。
优先资格
- 在高度监管的行业（医疗保健、金融服务、保险）的工作经验
- 在自动化、脚本编写或基础设施即代码方面的背景
- 熟悉元数据分析、数据分类或企业扫描技术
工具与技术
- AWS、Azure、GCP
- 企业存储和混合系统
- 身份和治理框架
查看英文原文
Join Hire Hangar and work with fast-growing global companies while building a long-term career.
Job Title: Principal Solutions Engineer
Location: Remote
Time Zone: US Time Zones (EST–PST)
Role Overview
We are seeking a Principal Solutions Engineer to guide enterprise customers through AI readiness initiatives and large-scale unstructured data transformations. This role owns the technical lifecycle—from architectural design and proof-of-value delivery to production success and expansion. You will operate within complex enterprise environments, ensuring performance, governance, and measurable ROI.
Key Responsibilities
- Translate customer AI, compliance, and data governance goals into scalable technical architectures
- Design phased deployment strategies across on-prem and cloud ecosystems
- Execute and manage proof-of-value engagements with defined success metrics
- Lead technical workshops and stakeholder alignment sessions
- Optimize system performance, validate throughput, and ensure production readiness
- Develop technical documentation and best practices for enterprise rollout
- Provide structured customer insights to influence product roadmap decisions
Required Qualifications
- Extensive experience in enterprise pre-sales or customer-facing engineering roles within SaaS, AI, or infrastructure sectors
- Deep knowledge of hybrid infrastructure, storage systems, and cloud platforms (AWS, Azure, GCP)
- Strong grounding in security architecture, IAM, and governance frameworks
- Experience working with large-scale unstructured data and compliance-sensitive environments
- Ability to present technical and business value clearly to C-level stakeholders
- Practical understanding of AI data pipelines, readiness assessments, and governance controls
- Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.
Preferred Qualifications
- Experience in highly regulated sectors (healthcare, financial services, insurance)
- Background in automation, scripting, or Infrastructure as Code
- Familiarity with metadata analysis, data classification, or enterprise scanning technologies
Tools & Technology
- AWS, Azure, GCP
- Enterprise storage and hybrid systems
- Identity and governance frameworks
- Python, PowerShell, Terraform
- Slack, Zoom, Google Workspace, Asana
Please NOTE
It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.
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