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Arize Jobs in California (NOW HIRING)

Arize AI

AI Solutions Manager, West

San Francisco, CA · On-site +1

$140K - $175K/yr

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.

Redfish Recruiting

$125K - $175K/yr

Arize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build ...

Redfish Recruiting

$125K - $175K/yr

Arize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build ...

InterSources Inc

Applied AI Senior Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

Langfuse, Arize, Braintrust, W&B • Retrieval systems (vector search, hybrid search) -- as a tool, not the focus Company : InterSources Inc. solves operational problems where protection, performance ...

Nace AI

Software Engineer (Backend)

Palo Alto, CA · On-site

... Arize, or custom evaluation metrics). • Demonstrated success building production LLM applications with complex workflows such as autonomous agents, conversational AI systems, or intelligent ...

Nace AI

Software Engineer (Backend)

Palo Alto, CA · On-site

Experience in developing and deploying AI Agent Evaluation frameworks (e.g., using tools like LangSmith, Arize, or custom evaluation metrics). * Demonstrated success building production LLM ...

Avathon

Senior AI Engineer

Pleasanton, CA · On-site

$116K - $159K/yr

... Arize Phoenix, Weights & Biases) for tracing, cost tracking, and quality monitoring in production • Experience with LLM evaluation frameworks (e.g., RAGAS, DeepEval) and evaluation patterns such as ...

Avathon

AI Engineer

Pleasanton, CA · On-site

Familiarity with LLM observability and evaluation tools (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases) * Hands-on experience with practical LLM deployment -- prompt versioning, cost ...

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Arize information

What is an Arize?

Arize is not a standard job title, but most commonly refers to Arize AI, a company specializing in machine learning observability and model monitoring. Professionals working at Arize, such as machine learning engineers or data scientists, focus on developing and maintaining tools that help organizations monitor, troubleshoot, and improve their AI models in production. Their work involves analyzing model performance, detecting issues like data drift or bias, and ensuring reliable deployment of machine learning systems. If you are referring to a specific role within Arize AI, responsibilities may vary depending on the position, such as engineering, product management, or customer success. Clarifying the exact job title or context can help provide more tailored information.

What are the key skills and qualifications needed to thrive as an Arize professional?

To thrive in a role focused on Arize (typically related to machine learning observability), you need a solid background in data science, software engineering, and familiarity with machine learning concepts, often supported by a relevant degree. Experience with tools like Arize AI, cloud platforms (AWS, GCP, Azure), and machine learning frameworks is highly valuable, as are certifications in these areas. Strong analytical thinking, problem-solving skills, and effective communication help professionals interpret results and collaborate with cross-functional teams. These skills are crucial for ensuring the reliability, fairness, and performance of machine learning models in production environments.

What are some typical challenges faced by professionals working at Arize and how can they be overcome?

At Arize, team members often work in a fast-paced, innovative environment focused on machine learning observability. A common challenge is keeping up with rapidly evolving technologies and integrating new tools into existing workflows. Collaboration across cross-functional teams, such as data scientists, engineers, and product managers, is essential to ensure alignment on project goals. Proactively seeking feedback, participating in continuous learning initiatives, and leveraging internal resources can help new hires adapt quickly and succeed in their roles.

What is the difference between Arize vs Data Analyst?

AspectArizeData Analyst
Required CredentialsTypically requires knowledge of machine learning, data monitoring tools, and programming skillsUsually requires a bachelor's degree in data science, statistics, or related fields; some roles prefer certifications
Work EnvironmentPrimarily in tech companies, data-driven organizations, and AI-focused teamsIn various industries including finance, marketing, healthcare, often in office settings
Employer & Industry UsageUsed by companies deploying AI/ML models to monitor performanceUsed across industries for data analysis, reporting, and decision-making support

While Arize focuses on monitoring and managing AI/ML models, Data Analysts primarily analyze data to generate insights. Both roles require strong analytical skills, but Arize emphasizes technical expertise in model performance, whereas Data Analysts focus on interpreting data for business decisions.

What are popular job titles related to Arize jobs in California?

For Arize jobs in California, the most frequently searched job titles are:

What job categories do people searching Arize jobs in California look for?

The top searched job categories for Arize jobs in California are:

Arize jobs near you
Infographic showing various Arize job openings in California as of August 2026, with employment types broken down into 1% As Needed, 94% Full Time, and 5% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution.

Technical Product Marketing Manager, Developer Growth

San Francisco, CA • On-site, Remote

Arize AI
Software Development • 51 - 200 employees
Learn more about Arize AIexternal

$140K - $175K/yr

Full-time

Re-posted 21 days ago

Job description

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.
About the role
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.
What you'll do
Own the developer growth motion
  • Define and own key metrics across the developer journey: awareness, adoption, activation, engagement, and qualified conversion signals from Phoenix into AX where relevant
  • Identify friction across the OSS, cloud, and self-serve experience, and partner with product to improve it
  • Develop hypotheses and run experiments to improve onboarding, activation, engagement, and expansion
Narrative & positioning
  • Own messaging and positioning for Phoenix and self-serve AX
  • Clarify Phoenix's role in the AI evaluation, observability, and agent development ecosystem
  • Help articulate how Phoenix and Arize AX fit together for different audiences and stages of adoption
  • Support launch coordination for major Phoenix releases
Developer journey & content
  • Build technical content that supports key moments in the developer journey (first use, activation, production readiness)
  • Create and improve onboarding and activation flows across OSS, cloud, and self-serve experiences
  • Develop guides that show how Phoenix is used in real-world workflows, and how teams can extend those workflows into AX when needed
  • Write from hands-on product usage and real technical understanding.
Community & ecosystem
  • Engage with the Phoenix and broader AI developer community to understand needs and surface insights
  • Partner with DevRel on amplification and community engagement
  • Identify which channels and communities are worth investing in, and help shape Arize's developer community strategy
  • Identify opportunities to grow Phoenix's reach and mindshare
AI-Native Execution
  • Use AI-native workflows to monitor ecosystem signals, synthesize feedback, and ship quickly
  • Dogfood Arize products in your own workflows and write from direct experience
  • Operate with a strong bias toward iteration, experimentation, and measurable outcomes
What we're looking for
  • 3-5 years in developer marketing, product marketing, developer relations, or a technical/product role with strong go-to-market instincts
  • Comfortable reading and working with code, APIs, and developer tools
  • Strong technical writing skills
  • Experience with AI/ML tooling, observability, or developer workflows
  • Comfortable using AI tools as part of daily workflows
  • Hands-on executor who ships fast
  • SF-based
Bonus points
  • Experience with OSS go-to-market or PLG
  • Existing relationships in the SF AI community
  • Personal following in AI/ML

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.
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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