
51 - 200 employees
Founded 2019
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
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.
🕒 June 2
🏄 California – Remote
💵 $140k - $175k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Sales Operations
🦅 H1B Visa Sponsor
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51 - 200 employees
Founded 2019
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
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.
• Own ongoing competitive monitoring across product launches, pricing changes, messaging shifts, and sales motions. Build AI-assisted workflows to aggregate signals from websites, changelogs, reviews, analyst commentary, and market conversations. • Distill findings into sharp, opinionated insights that clarify implications for our positioning and sales strategy. Maintain and continuously evolve battlecards and competitive briefs that reflect current market dynamics. Identify emerging patterns and share insights and recommendations to product and revenue leadership. • Partner closely with sales to translate positioning into practical talk tracks and objection-handling frameworks. Create and iterate on battlecards, differentiation frameworks, and competitive guides that improve how we compete throughout the entire sales cycle. • Participate in deal reviews to understand how competitive dynamics unfold in real conversations. Train reps on how to use competitive materials effectively, and continuously refine enablement assets based on field feedback. • Design repeatable AI-assisted research workflows to track and analyze competitive signals. Experiment with automation, agents, and prompt systems to improve the quality and speed of insight generation. • Establish clear standards for when to rely on AI outputs and when to apply human judgment. Continuously improve research systems to increase signal quality and reduce noise. • Translate competitive insight into concise, compelling messaging. Help sharpen differentiation narratives that sales can confidently deliver in high-stakes conversations. • Track adoption and effectiveness of competitive materials across the sales organization. Gather feedback from reps and leadership to assess clarity, usability, and deal impact. • Refine content and workflows based on measurable influence on positioning confidence, objection handling, and win rates. • Over time, expand scope into partner marketing initiatives, helping shape co-marketing narratives and enablement with strategic ecosystem partners.
• 5–7 years of experience in product marketing, sales, competitive intelligence, or strategy • Strong writing skills with the ability to distill complex information into clear, actionable insight • Ability to read and reason about code, APIs, and technical documentation to understand product capabilities and competitive differences • Structured thinker with strong synthesis skills (able to turn noisy inputs into clear frameworks and insights) • Experience working cross-functionally with sales teams and supporting live deals • Comfortable using AI tools (Claude Code, Cursor, or similar tools) as part of daily workflows • Deep curiosity about how and why products, markets, and buyers behave • Self-starter who thrives in fast-paced environments and takes ownership of outcomes
Apply Now🕒 June 2
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