远程工作雷达

AI销售工程师,美国

AI Sales Engineer, US

AI开发工程市场运营限定地区(需当地身份)
公司arizeai
薪资未公开
工作地点Remote (United States)
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-02-05
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote (United States) 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

关于 Arize

AI 正在迅速改变世界。随着生成式 AI 重塑各个行业,团队需要强大的方式来监控、排查故障并优化他们的 AI 系统。这就是我们的用武之地。Arize AI 是领先的 AI 与智能体工程可观测性和评估平台,使 AI 工程师能够交付高性能、可靠的智能体和应用。从第一个原型到生产规模,Arize AX 在一个工作区中统一了构建、测试和运行——让团队可以更有信心地加快交付速度。

我们是一家 C 轮融资公司,由顶级投资者支持,已获得超过 1.35 亿美元的融资,并拥有快速增长的客户群,包括 150 多家领先企业和财富 500 强公司。Booking.com、Uber、西门子和百事公司等客户利用 Arize 来实现有效运作的 AI。

团队

我们的工程团队构建的系统与一些最复杂的软件进行交互,这些软件曾被部署在生产环境中。该团队由业内资深人士组成,他们曾构建过深度学习基础设施、自动驾驶无人机、网约车市场、广告技术等。我们正在寻找一位 AI 销售工程师(解决方案架构师)加入我们,将这款产品带给每一个 AI/ML 组织。

你将与我们的客户经理并肩合作,向客户阐述 Arize 的价值和整体战略,以在销售过程中突出平台的独特性,并推动从需求收集到成交的 PoC(概念验证)。

AI 销售工程师的工作内容多样——一天你可能要向 CDO 进行 Arize 的高层推介,第二天可能要动手开发一个小的 PoC。

你将负责:

你是客户的可信顾问:

  • 与我们的客户经理合作,向客户阐述 Arize 的整体价值主张、愿景和战略
  • 与世界上最先进的生成式 AI 团队之一密切合作
  • 作为客户的可信顾问,同时与技术和业务利益相关者建立关系
  • 主导 Arize 平台的产品演示
  • 提供生成式 AI 和机器学习的最佳实践建议
  • 进行初步调查,了解潜在客户的生成式 AI 技术栈,与销售团队合作构建 Arize 平台的有说服力的价值主张
  • 领导与潜在买家的 PoC 动作
  • 处理技术方面的异议,并制定跨销售、工程和产品的策略以解决这些问题
查看英文原文

About Arize

AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.

We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.

The Team

Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. We are looking for an AI Sales Engineer (Solutions Architect) to join the good fight and get this product in the hands of every AI/ML organization.

You'll work side-by-side with our Account Executives to articulate the Arize value and overall strategy to differentiate the platform throughout the sales process and drive POCs from requirements gathering to close. The activities performed by an AI Sales Engineer are diverse - one day you might be assisting with a high-level pitch of Arize to a CDO, and the next day you might be working hands-on to develop a small proof of concept.

What You’ll Do

You are the trusted advisor to the customer:

  • Partner with our account executives to articulate the overall Arize value proposition, vision, and strategy to customers
  • Work closely with some of the most sophisticated GenAI teams in the world.
  • You will act as a trusted advisor to our prospective customers, while also building relationships with technical and business stakeholders.
  • Lead product demonstrations of the Arize platform
  • Advise on GenAI and ML best practices
  • Lead discovery to understand prospect’s GenAI tech stack to collaborate with the Sales team to construct a compelling value proposition of the Arize Platform
  • Lead Proof of Concept (PoC) motions with prospective buyers
  • Handle technical objections and develop strategies across sales, engineering, and product to unblock them

What We’re Looking For

Note: Even if you do not check every single box, we still encourage you to apply!

  • 3+ years of experience in a customer-facing role such as sales engineer, solutions engineer, or forward deployed engineer
  • Strong communication skills: Ability to simplify complex, technical concepts
  • Proficiency in Python / Typescript
  • Knowledge of LLM / Agentic frameworks such as OpenAI Agents SDK, Google ADK, LangGraph, and DSPy
  • Understanding of GenAI concepts and application evaluation + development lifecycle
  • A quick and self learner - undaunted by technical complexity of production AI deployments and welcome the challenge to learn about them and develop your own POV.

Bonus Points, But Not Required

  • Previous experience working across and aligning Sales, Product, and Engineering
  • Previous experience within a team that underwent a high growth stage
  • Previous engineering experience in: Data Engineering, MLOps, Kubernetes, GCP / AWS / Azure

The estimated annual salary and variable compensation for this role is between $140,000 - $230,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.
More About Arize

Arize’s mission is to make the world’s AI work—and work for people.
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.

Learn more about what we're doing here:

https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/

https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/

Diversity & Inclusion @ Arize

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
  • Culturally conscious events such as LGBTQ trivia during pride month
  • We have an active Lady Arizers subgroup
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