Lead Product Marketing Manager - GTM

March 12

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Arize AI

Arize AI is a company that provides a comprehensive AI observability and evaluation platform designed for AI engineers to build and manage AI applications, particularly those involving large language models (LLMs). The platform offers end-to-end AI tracing, monitoring, and evaluation tools to help users identify and resolve performance bottlenecks, ensure data quality, and improve the performance of AI systems. Arize also supports experimentation and visualization, enabling users to iterate rapidly on AI applications and maintain high-quality service delivery. The company caters to top AI companies, offering solutions for both online and offline LLM evaluation and observability. Arize's tools are particularly valuable for AI model monitoring, troubleshooting, and performance optimization, helping businesses mitigate risks and improve AI outcomes.

📋 Description

• AI is rapidly changing the world. From processing job applications and credit decisions to making content recommendations and helping researchers analyze genetic markers at scale, many aspects of our daily lives are touched by machine learned systems in some way. • Arize is the leading machine learning (ML) observability platform that helps ML teams discover issues, diagnose problems, and improve the results of machine learning models. • We’re looking for a Product Marketing Lead to help us translate complex technical capabilities into compelling narratives, sales enablement, and go-to-market strategies. • You’ll own key aspects of positioning, messaging, content creation, and product launches—working cross-functionally with Product, Sales, and Developer Relations to bring our AI observability and evaluation solutions to market. • You’ll be joining a dynamic and deeply technical marketing team that operates at the cutting edge of AI. • You’ll collaborate closely with some of the most technical DevRel counterparts in the space—from former solutions architectures to AI engineers who live and breathe AI evaluation and observability. • If you’re looking for a role where you can sharpen your technical depth while mastering the craft of go-to-market execution, this is it. • Positioning & Messaging – Develop and refine clear, differentiated positioning for Arize’s AI observability and evaluation products that resonate with AI engineers and technical decision-makers. • Sales Enablement – Create sales decks, one-pagers, demo flows, and training materials that help our GTM teams articulate Arize’s value to enterprises and open-source users. • Go-To-Market Strategy – Lead product launches and GTM initiatives, ensuring alignment across marketing, product, and sales teams. • Demo & Use Case Development – Work closely with Sales Engineers to craft compelling demo flows that showcase Arize’s capabilities for troubleshooting, fine-tuning, and evaluating LLMs and AI agents. • Content & Thought Leadership – Drive content creation, from technical blogs to case studies and conference presentations, to establish Arize as the leader in AI observability. • Customer Insights & Market Research – Gather intelligence on customer needs, industry trends, and competitive landscape to inform product strategy and messaging.

🎯 Requirements

• Technical PMM Expertise – You have 4+ years of experience in product marketing, ideally with AI, developer tools, or technical SaaS products. • AI Fluency – You understand the AI/ML space—bonus points if you have experience in observability, evaluation, or agent-based systems. • Strategic & Execution-Oriented – You can go from high-level GTM planning to hands-on execution, ensuring campaigns and sales enablement materials drive results. • Storyteller for Technical Audiences – You know how to craft compelling messaging that resonates with engineers and enterprise buyers alike. • Sales & Product Savvy: – You’re comfortable working closely with sales teams, understanding customer objections, and refining messaging to address them. • Bias for Action – You thrive in fast-paced environments, taking ownership and moving projects forward with minimal oversight.

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