高级前移工程师
Senior Forward Deployed Engineer
职位描述
加入一家早期阶段的企业AI基础设施公司，作为欧洲客户合作的技术负责人。你将跨产品、销售和工程团队工作，帮助企业团队从初步的技术探索过渡到基于其数据的AI系统的生产部署。
你将负责
- 领导客户发现，以了解数据架构、运营限制和业务需求。
- 从技术验证到生产承诺，规划并交付价值证明。
- 进行演示，解释架构权衡，并与企业利益相关者解决技术异议。
- 构建可重复使用的发现框架、演示叙事、异议处理指南和参考架构。
- 将客户要求和边缘案例转化为对工程团队有行动力的产品反馈。
- 与机器学习和基础设施团队合作，支持部署并实现客户承诺。
- 定期前往英国和欧洲的客户现场。
我们寻找的人选具备
- 至少5年的专业经验，包括2至3年的实际技术或数据岗位经验。
- 在企业B2B软件中将技术价值证明转化为生产部署的记录。
- 对数据仓库、ETL/ELT流程、数据治理和企业数据架构有深入了解。
- 对生产级LLM和代理系统有基本了解，包括其功能和限制。
- 有领导技术发现、演示、概念验证、安全审查和多利益相关者企业采购流程的经验。
- 能够使用Python或SQL为客户制作原型，并能清晰地向工程团队传达技术反馈。
- 有受监管或隔离环境部署经验，了解知识图谱、语义层、本体论或实体解析者优先。
- 能在模糊、面向客户的环境中工作；有创业经验及多语言能力者为佳。
薪酬与福利
此职位不提供签证担保。
地点
混合办公，总部位于美国纽约，需定期前往英国和欧洲的客户现场。
查看英文原文
ABOUT THE ROLE
Join an early-stage enterprise AI infrastructure company as the technical lead for customer engagements across Europe. You will work across product, sales, and engineering, helping enterprise teams move from initial technical discovery to production deployments of AI systems grounded in their data.
WHAT YOU'LL DO
- Lead customer discovery to understand data architectures, operational constraints, and business needs.
- Scope and deliver proofs of value from technical validation through production commitments.
- Run demonstrations, explain architectural tradeoffs, and address technical objections with enterprise stakeholders.
- Build reusable discovery frameworks, demo narratives, objection handling guidance, and reference architectures.
- Translate customer requirements and edge cases into actionable product feedback for engineering.
- Partner with machine learning and infrastructure teams to support deployments and deliver on customer commitments.
- Travel regularly to customer sites across the UK and Europe.
WHAT WE'RE LOOKING FOR
- At least 5 years of professional experience, including 2 to 3 years in a hands-on technical or data role.
- A record of converting technical proofs of value into production deployments in enterprise B2B software.
- Strong knowledge of data warehouses, ETL/ELT pipelines, data governance, and enterprise data architectures.
- Working knowledge of production LLM and agentic systems, including their capabilities and limitations.
- Experience leading technical discovery, demos, proofs of concept, security reviews, and multi-stakeholder enterprise buying processes.
- Ability to prototype for customers using Python or SQL and communicate technical feedback clearly to engineering teams.
- Experience with regulated or air-gapped deployments, knowledge graphs, semantic layers, ontologies, or entity resolution is valuable.
- Comfort working in ambiguous, customer-facing environments; startup experience and multilingual skills are a plus.
COMPENSATION & BENEFITS
Visa sponsorship is not available for this role.
LOCATION
Hybrid, based in New York, United States, with regular travel to customer sites across the UK and Europe.