A remote Software Development role at Arize AI.
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Original listing text, shown exactly as published by the company.
We’re looking for a Technical Product Marketing Manager to own how developers discover, adopt, and grow with Phoenix and the broader Arize developer ecosystem.
Phoenix is often the first touchpoint developers have with Arize. This role owns that experience end-to-end — from discovery to first use to sustained adoption and growth. You’ll help shape the product experience, remove friction, and expand Phoenix’s reach, usage, and developer mindshare.
This role sits at the intersection of product marketing, developer experience, and open-source growth. You’ll combine technical fluency, strong narrative instincts, and a bias to ship to drive measurable improvements in developer activation, engagement, and expansion.
Own the developer growth motion
Narrative & positioning
Developer journey & content
Community & ecosystem
AI-Native Execution
Pay Range $140,000-$175,000 depending on experience
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.
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
Arize AI
Software Development
38 open roles on Sydicom
Arize AI offers a machine learning (ML) observability platform. This platform helps data scientists and ML engineers monitor, troubleshoot, and explain AI models in production. Their technology ensures the reliable and responsible performance of enterprise AI systems.
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