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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 Opportunity
AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.
Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.
The Team
Our team is working to define the “canonical stack” for AI workflows, by solving the toughest problems in AI today: how to experiment, evaluate, understand and improve models or applications at scale in a responsible way. The product team has deep technical and strategic backgrounds from leading AI/ML companies (Uber, Cruise, Spotify, Apple) and experience shipping market leading platforms at scale. Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the industry.
What You’ll Do
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You will be owning, strategizing, and developing a large portion of Arize AI’s core product roadmap.
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From ideation to creation, you will be involved in all stages of the product life cycle.
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You will be engaging with our customers directly to gather meaningful insight and feedback in order to create a world class product.
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You will be working cross functionally with internal and external stakeholders; including engineering, design, marketing, and sales to drive our product strategy into production.
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You will be responsible for communicating and integrating competitive analysis, usability research, and market analysis into product requirements.
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Utilize your understanding in AI/ML/CV or related technical space in order to contribute to Arize AI’s main product offering.
What We’re Looking For
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2-3+ years of relevant product management experience or previous AI/ML experience with strong product ownership.
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Previous engineering and/or tech lead experience
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Strong track record of building in a technical domain while shipping quickly and efficiently.
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Willingness to get your hands dirty with code!
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Experience and/or knowledge of working within machine learning, or data platforms and infrastructure.
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Experience working directly with customers and promoting community discussions in order to gather client feedback.
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Experience driving data-informed product strategy into production.
Bonus Points, But Not Required
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Experience in API design
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Early startup experience
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Experience working with Figma or similar design tools
The estimated annual salary for this role is between $150,000 - $220,000, 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
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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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Arize AIについて

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
従業員数
Berkeley
本社所在地
給与レンジ
3件のデータ
Senior/L5
Senior/L5 · Machine Learning Software Sales Engineer
2件のレポート
$193,200
年収総額
基本給
$168,000
ストック
-
ボーナス
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$193,200
$193,200
ニュース&話題
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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4w 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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4w 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