You will design and architect open-source libraries and frameworks to monitor, evaluate, and improve LLM outputs. Additionally, you will collaborate with the community and produce technical documentation to help developers succeed with AI tooling.
You will own the full expansion and renewal sales cycle for existing enterprise customers, identifying growth opportunities and deepening relationships with key stakeholders. You will also collaborate with internal teams to execute account strategies and accurately forecast revenue performance.
This is a talent community application to build a pipeline of candidates for future roles. Applicants are asked to express interest in specific functional areas such as Engineering, Sales, or Product Design.
Partner with Account Executives to articulate the Arize value proposition and lead technical product demonstrations for prospective customers. Drive the Proof of Concept (PoC) process from requirements gathering to close while acting as a trusted advisor on GenAI and ML best practices.
Identify, win, and grow new enterprise customers by building relationships with AI/ML stakeholders and running sophisticated prospecting strategies. Manage complex sales cycles, conduct discovery, and drive the adoption of the Arize AI platform through proof of concepts.
The Account Executive will identify, win, and grow new enterprise customers by building relationships with AI/ML stakeholders. Responsibilities include running prospecting strategies, managing proof of concepts, and navigating complex sales cycles to drive adoption.
Partner with enterprise AI teams to design and scale production-grade GenAI observability and evaluation programs. Build custom integrations and tooling to extend the Arize platform while managing multiple concurrent client engagements.
Drive customer adoption and manage renewal cycles by building deep relationships with AI/ML users and identifying expansion opportunities. Collaborate with technical teams to implement tailored solutions and relay customer feedback to internal product teams.
Manage the operational engine of cloud partnerships across AWS, GCP, Azure, and NVIDIA to drive co-sell pipeline and partner-sourced revenue. Lead field enablement, marketplace operations, and quarterly business reviews to align roadmap and growth strategies.
Identify, win, and grow new enterprise customers within the AI/ML community through sophisticated prospecting and relationship building. Manage complex sales cycles, conduct discovery, and drive the adoption of the Arize AI observability platform.
Act as a trusted technical advisor to customers by providing guidance on GenAI and ML best practices and delivering product demos. Partner with product and engineering teams to drive the roadmap and identify expansion opportunities within existing accounts.
Partner with enterprise AI teams to design and scale production-grade GenAI observability and evaluation programs. Build custom integrations and lead technical discussions to translate business priorities into scalable technical solutions.
Debug and fix platform issues while building internal generative AI tools and copilots. Rapidly prototype proof-of-concepts for customer use cases and collaborate across teams to drive AI adoption.
Drive adoption and growth for SMB and Mid-Market customers by managing renewal cycles and identifying expansion opportunities. Partner with technical teams to ensure smooth implementation and run workshops to demonstrate product value.
The role involves acting as a networker, seller, and closer by building relationships with AI/ML stakeholders and running a sophisticated prospecting strategy to find new business opportunities. Responsibilities also include managing proof of concepts, driving adoption, growing accounts, and navigating complex enterprise sales cycles.
The Account Executive will be responsible for finding, winning, and growing new customers by networking, selling, and closing deals, while actively engaging with the AI/ML community to identify prospects who can benefit from the observability platform. This involves running sophisticated prospecting strategies, conducting discovery, managing complex sales cycles, and ensuring customer success through proof of concepts and account growth.
The AI Sales Engineer will build relationships with technical stakeholders, lead product demonstrations, and assist in developing proof of concepts. They will also handle technical objections and act as a domain expert within AI/ML.
As an AI Solutions Manager, you will build and deepen relationships with AI/ML users to foster adoption and drive expanded usage across customer accounts. You will also conduct discovery with customers to understand their goals and propose tailored solutions.
The Design Engineer will design, prototype, and ship interfaces that help AI teams understand and improve their systems. This includes creating product experiences and interactive visualizations for AI workflows.
You will write maintainable, scalable, and performant backend code primarily in Go, Java, and Python, while building high-volume analytics systems. Additionally, you will design and build APIs specific to customer workflows and contribute to the development of in-house AI agents.
You will write maintainable, scalable, and performant code across the stack primarily in Typescript and React, and design and build APIs specific to customer workflows. Additionally, you will collaborate with product and design teams to enhance product offerings and contribute to architectural decisions.
