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Arize Jobs (NOW HIRING)

Arize AI

AI Solutions Manager, SMB

$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.

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.

Arize AI

Cloud & AI Technology Partner Manager

$180K - $220K/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.

RIT Solutions, Inc.

Senior Software Engineer

Atlanta, GA · Hybrid

$117K - $155K/yr

Arize * Honeycomb * Splunk * OpenTelemetry (OTEL) Key Responsibilities * Design and develop scalable backend systems using TypeScript and Python * Build and maintain cloud-native applications on AWS

RIT Solutions

Senior Software Engineer

Atlanta, GA · Hybrid

$117K - $155K/yr

Arize * Honeycomb * Splunk * OpenTelemetry (OTEL) Key Responsibilities * Design and develop scalable backend systems using TypeScript and Python * Build and maintain cloud-native applications on AWS

CEDENT

MLOps Engineer

$40 - $60/hr

Data validation & monitoring (Great Expectations, TensorFlow Data Validation, WhyLabs, Arize) * Feature store concepts (BQ-based or managed) * Canary/shadow deployments, autoscaling, and performance ...

Apolis

Cloud Platform Engineer

Charlotte, NC · Hybrid

$54.50 - $72.75/hr

Enable MLOps/LLMOps pipelines for model deployment, monitoring, and lifecycle management, integrating Arize AI and GenAI platforms. * Implement platform engineering best practices, including ...

Tror AI for everyone

AI Platform Engineer

Charlotte, NC · On-site

... Arize AI (tracing, quality metrics, dataset drift/hallucination tracking, embedding monitoring). ● Define and enforce platform-wide standards for: ○ Tracing LLM calls ○ Token usage and cost ...

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Arize information

What are the key skills and qualifications needed to thrive as an Arize professional, and why are they important?

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 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 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 an Arize job?

An Arize job typically refers to a position at Arize AI, a company specializing in machine learning observability and model performance monitoring. Employees at Arize work on ensuring AI models are explainable, bias-free, and functioning correctly in production environments. Roles at Arize can range from engineering and data science to customer success and sales, depending on the company's needs.

What is an Arize and what do they do?

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.
More about Arize jobs
What states have the most Arize jobs? States with the most job openings for Arize jobs include:
What job categories do people searching Arize jobs look for? The top searched job categories for Arize jobs are:
Arize jobs near you
Infographic showing various Arize job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution.
AI Solutions Manager, SMB

AI Solutions Manager, SMB

Arize AI

Remote

$140K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 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.
The Opportunity
As an AI Solutions Manager, you'll partner with some of the most innovative AI/ML teams in the world. You'll play a pivotal role in driving adoption, shaping product use cases, and ensuring our SMB and Mid-Market customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications.
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.
As an AI Solutions Manager, your work will directly contribute to our customers' success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our SMB and Mid-Market customers. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You'll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and ensuring your customers are getting value out of the partnership by running effective workshops and enablement sessions, and working with the Solutions Engineering team on complex implementations. You'll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies.
What You'll Do
  • Build and deepen relationships with AI/ML practitioners and executives to foster adoption, uncover new use cases, and drive expanded usage across customer accounts.
  • Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.
  • Collaborate with technical teams, including Solutions Engineering and Application Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.
  • Run workshops and training sessions with customers during onboarding.
  • Run business reviews to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships.
  • Proactively identify and develop new growth opportunities by analyzing customer usage and targeting high-value needs across your customer base.
  • Own the full expansion and renewal sales cycle across your book of business.
  • Maintain rigorous hygiene in CRM and internal tooling to support a high-performing revenue team.
What We're Looking For
  • 2+ years of experience as a Customer Success Manager in SaaS.
  • Proven track record of driving expansion and upsell revenue within SMB and Mid-Market accounts, bonus for selling AI/ML or data infrastructure software to VP and C-suite stakeholders.
  • A self-starter and customer-first mindset with the ability to thrive in limited process environments.
  • Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively.
  • Strong communication skills for articulating observations and fostering collaboration across teams.
  • Proven ability to demo technical products and translate their value into tailored customer solutions.
  • A strong team player who values collaboration and collective success.
  • Bonus: Familiarity with AI/ML workflows or GenAI technologies.

The estimated annual salary and variable compensation for this role is between $140,000 to $175,000, 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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