AI Solutions Manager

Remote

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, SoftwareIndustries

Requirements

Candidates should have at least 3 years of experience as a Customer Success Manager in SaaS, possess a self-starter mindset, and exhibit exceptional organizational skills. Strong communication abilities for articulating observations and fostering collaboration are essential, along with a proven ability to demo technical products and translate their value into tailored customer solutions. The ideal candidate thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results, while also being a strong team player. Familiarity with AI/ML workflows or GenAI technologies is a plus.

Responsibilities

The AI Solutions Manager will build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts through regular touchpoints. They will conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. This role involves collaborating with technical teams to address complex customer needs, ensuring smooth implementation, and advising on technical best practices. Responsibilities also include running workshops and training sessions, conducting QBRs to demonstrate account value, proactively monitoring product usage, identifying upsell opportunities, relaying customer feature requests to internal teams, and ensuring support teams are aligned with customer requests and priorities.

Skills

Generative AI

Agentic Systems

AI Observability

AI Evaluation

Customer Success

Account Management

Solution Selling

Product Adoption

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