About the Role
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 and Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From the first prototype to production scale, Arize AX unifies the build, test, and run phases in a single workspace, so teams can ship faster with absolute confidence. We are a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of more than 150 leading enterprises and Fortune 500 companies. Industry leaders like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
As an AI Solutions Manager for our SMB and Mid-Market segments, you will partner with some of the most innovative AI and Machine Learning teams in the world. You will play a pivotal role in driving platform adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a market leader in the AI space and gain deep insights into cutting-edge AI applications. You will join an engineering-centric team composed of industry veterans who have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, and complex ad tech systems. Your work will directly contribute to the success of our customers by helping them bridge the gap between AI experimentation and production-grade reliability.
Key Responsibilities- Act as a strategic advisor to SMB and Mid-Market customers, guiding them through the integration and optimization of the Arize platform within their AI tech stacks.
- Drive customer retention and growth by identifying new use cases for LLM observability, evaluation, and troubleshooting.
- Lead technical onboarding sessions and workshops to ensure customers are maximizing the value of Arize AX for their specific business needs.
- Collaborate closely with the Product and Engineering teams to translate customer feedback and market trends into actionable product features.
- Analyze customer health metrics and AI model performance data to provide proactive recommendations for improving agent reliability.
- Develop and maintain deep technical knowledge of generative AI trends, including RAG architectures, agentic workflows, and emerging LLM evaluation techniques.
- Champion the voice of the customer within Arize, ensuring that the SMB segment's needs are represented in our long-term product roadmap.
- Proven experience in a technical customer-facing role, such as Solutions Architecture, Technical Account Management, or Customer Success within a SaaS environment.
- A strong passion for Artificial Intelligence and Machine Learning, with a solid understanding of how LLMs and generative AI applications are built and deployed.
- Exceptional communication skills, with the ability to explain complex technical concepts to both engineering leads and business stakeholders.
- Experience working in a high-growth startup environment where adaptability and proactive problem-solving are essential.
- Familiarity with data science tools and workflows, including Python, notebook environments, or ML monitoring concepts.
- Strong project management skills, with the ability to manage multiple client accounts and priorities simultaneously without losing attention to detail.
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field is preferred.
- Competitive salary and meaningful equity packages in a fast-growing Series C company.
- Comprehensive health, dental, and vision insurance plans to support your well-being.
- Flexible work environment with a focus on work-life balance and remote-first collaboration.
- Generous professional development budget to help you stay at the forefront of the AI industry.
- Opportunity to work with and learn from some of the most talented engineers and innovators in the AI observability space.
- Regular team offsites and company-wide events to foster a collaborative and inclusive culture.