招聘
必备技能
Salesforce
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 Pepsi Co 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 a fast-paced Sales Development Representative (SDR) with an entrepreneurial mindset to find new customers and opportunities. You’ll be searching for business while being an engaged member of the AI/ML community. You will prospect, qualify, and generate opportunities to support the overall growth of the business.
What You’ll Do
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Research and map prospective new accounts for strategic outreach
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Cold call and email prospective customers
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Utilize lead generation tools such as LinkedIn Sales Navigator, Outreach, Zoom Info, Dux-Soup, and Salesforce
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Partner with Account Executives to generate leads
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Develop, present and implement plans for acquiring new business and traction in your assigned area
What We’re Looking For
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Motivated by a career in sales
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Interested in the tech space
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A self starter, focused, dynamic, and eager to learn
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Someone who has excellent written & verbal communication skills
Bonus Points, But Not Required
- Previous selling experience
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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.
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
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Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
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Culturally conscious events such as LGBTQ trivia during pride month
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We have an active Lady Arizers subgroup
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关于Arize AI

Arize AI
Series AArize AI provides machine learning observability and monitoring platform to help data science teams detect and fix issues in production ML models. The company offers tools for model performance monitoring, data drift detection, and explainability.
51-200
员工数
Berkeley
总部位置
薪资范围
3个数据点
Senior/L5
Senior/L5 · Machine Learning Software Sales Engineer
2份报告
$193,200
年薪总额
基本工资
$168,000
股票
-
奖金
-
$193,200
$193,200
新闻动态
Arize AI Partners With M12 for San Francisco AI Production Event - TipRanks
TipRanks
News
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3w ago
AI Without Security Is a Liability, Not an Advantage
https://i.redd.it/ojgwpna4jkrg1.gif In 2026, AI systems can't ignore security architecture. I've explained how you can implement in simple. 𝗦𝘁𝗲𝗽 1 – 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 & 𝗔𝗰𝗰𝗲𝘀𝘀 (𝗔𝗰𝗰𝗲𝘀𝘀 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗟𝗮𝘆𝗲𝗿) • This layer controls who can use AI systems and models. • It ensures only authorized users, apps, or agents get access. • Prevents unauthorized access to sensitive AI resources. 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀: Okta, Microsoft Entra ID, Auth0. Without this layer,
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3w ago
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Agentic + AI Observability Night at Terra Gallery (San Francisco) on March 26th, 2026
Join Databricks, Anthropic, Arize, Sentry, Factory, and LanceDB for the next Agentic + AI Observability Night at Terra Gallery in San Francisco on March 26th, 2026! We’re bringing together an incredible group of builders and researchers pushing the frontier of AI, Observability, LLMOps, and Agentic Systems 👉 RSVP: [https://luma.com/ajbkfwvg](https://luma.com/ajbkfwvg) Here’s a sneak peek at the lineup: ⚡ Self-healing Agents: How Droid Closes Its Own Feedback Loop with David G
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3w ago
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Arize AI Co-Hosts Technical Event on Production AI Agents With Microsoft’s Venture Fund - TipRanks
TipRanks
News
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4w ago