Arize AI

Engineering Manager, Data Platform

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Data InfrastructureIndustries

Requirements

Candidates should possess a strong background in performance optimization, particularly around low-latency storage and retrieval systems, and a track record of leading engineering teams working on distributed infrastructure while maintaining technical depth. Experience with modern infrastructure (Kubernetes, cloud-native architectures) and distributed systems patterns is essential, along with a focus on pragmatic solutions while meeting strict performance and reliability requirements.

Responsibilities

As the Engineering Manager, you will lead and scale a team of engineers building the next-generation event processing and storage infrastructure, driving architectural decisions for mission-critical distributed systems, focusing on reliability, performance, and scalability. You will also design and implement sophisticated storage and query engines optimized for AI observability workloads, partner with product teams to evolve the platform, and mentor and grow engineering talent while fostering a culture of distributed systems excellence.

Skills

Distributed Systems
Event Processing
Storage Infrastructure
High-Throughput Systems
Scalability
Real-Time Processing
System Architecture
Leadership
Mentoring

Arize AI

AI observability and model evaluation platform

About Arize AI

Arize AI provides a platform focused on AI observability and evaluating language models. The platform allows companies to monitor, troubleshoot, and assess the performance of various machine learning models, including those used for natural language processing, computer vision, and recommendations. Users can access analytics and workflows that help identify and resolve issues within their AI systems, ensuring optimal performance. Key features include task-based evaluations for aspects like hallucination and relevance, as well as tools for visualizing query and knowledge base embeddings to enhance retrieval accuracy. Unlike many competitors, Arize AI specifically targets the needs of top AI companies, offering tailored solutions for continuous improvement of their models. The goal of Arize AI is to empower these companies to enhance their AI capabilities through effective monitoring and evaluation.

Berkeley, CaliforniaHeadquarters
2020Year Founded
$59.3MTotal Funding
SERIES_BCompany Stage
Data & Analytics, AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Unlimited Paid Time Off
Parental Leave
Mental Health Support
Flexible Work Hours

Risks

Competition from tech giants like Microsoft may overshadow Arize's offerings.
Rapid tech advancements could render Arize's features obsolete if not updated.
Data privacy compliance in the EU poses challenges for Arize AI.

Differentiation

Arize AI offers industry-first AI Copilot for troubleshooting AI systems.
The platform provides unique prompt engineering and retrieval tracing workflows.
Arize AI supports EU data residency, addressing regional data privacy concerns.

Upsides

Increased demand for AI observability tools boosts Arize AI's market potential.
Collaboration with Microsoft enhances Arize AI's enterprise deployment capabilities.
Prompt variable monitoring highlights Arize AI's commitment to LLM performance enhancement.

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