Full-Time

Technical Product Marketing Manager

Arize AI

Arize AI

51-200 employees

AI model observability and evaluation platform

Compensation Overview

$140k - $175k/yr

San Francisco, CA, USA

In Person

Category
Growth & Marketing (1)
Required Skills
Claude
Sales
REST APIs
Requirements
  • 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
Responsibilities
  • 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.
  • Ensure all materials are clear, opinionated, and grounded in real buyer dynamics.
  • 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.
Desired Qualifications
  • Experience in Data/ML, AI, or developer-focused products
  • Familiarity with building automation or AI-assisted workflows
  • Exposure to competitive intelligence programs in high-growth companies
  • Experience supporting live deals through positioning and objection handling
  • Interest in buyer psychology and decision-making dynamics
  • Exposure to coding or building technical side projects

Arize AI provides a platform for AI observability and LLM evaluation that helps teams monitor, troubleshoot, and improve the performance of machine learning models, including generative models, NLP, computer vision, and recommender systems. It works by delivering analytics and workflows, tracing LLM operations (traces and spans), retrieval augmented generation (RAG), and task-based evaluations for issues like hallucinations, relevance, and citation checks. The platform distinguishes itself by offering end-to-end AI observability and LLM evaluation for top AI companies, with embedding-based RAG analysis to diagnose missing or irrelevant context. The goal is to help AI teams ensure models perform optimally and continuously improve their AI systems.

Company Size

51-200

Company Stage

Series C

Total Funding

$131M

Headquarters

Berkeley, California

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • Velvet acquisition in 2025 bolsters AI gateway for developer monitoring.
  • Google A2A partnership unlocks agent interoperability across platforms.
  • Microsoft Azure integration resolves enterprise LLM deployment barriers.

What critics are saying

  • Fiddler AI seizes share with superior explainability in 6-12 months.
  • Amazon SageMaker Monitor captures 70% AWS workloads in 3-9 months.
  • Deepchecks undercuts pricing with open-source drift detection in 12-18 months.

What makes Arize AI unique

  • Arize AI delivers unified observability for ML and LLMs via Phoenix open-source framework.
  • AI Copilot automates troubleshooting for prompt optimization and custom evaluations.
  • Alyx AI agent and AI Search V2 enable seamless issue discovery in production.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Parental Leave

Mental Health Support

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

0%

2 year growth

-2%
Arize
Jul 1st, 2025
Meet Alyx: Arize's Evolving AI Agent

Arize AI, Inc is excited to introduce Alyx, the next evolution in Arize's intelligent assistant.

Arize
Apr 9th, 2025
Arize AI and the Future of Agent Interoperability: Embracing Google's A2A Protocol

Arize AI, Inc is excited to announce that Arize AI is partnering with Google as a launch partner for the Agent Interop Protocol (A2A), an open standard enabling seamless communication between AI agents across different platforms and organizational boundaries.

SiliconANGLE Media
Mar 13th, 2025
Arize AI Acquires Velvet for AI Observability

Arize AI Inc. has acquired Velvet to enhance its AI observability and evaluation capabilities. Velvet, founded in 2023, provides an AI gateway for developers to analyze and monitor AI features. The acquisition aims to meet the growing demand for AI monitoring and evaluation, with Velvet's team joining Arize to expand its offerings. Chris Hendel, Velvet's co-founder, will lead platform engineering at Arize. Financial terms of the deal were not disclosed.

Tech Company News
Feb 24th, 2025
Arize AI Raises $70M To Advance AI Observability And Fix Model Reliability Issues

With backing from major investors and deeper integration with Microsoft's Azure AI, Arize AI expands its tools to support enterprises deploying large-scale AI systems.

Arize
Feb 20th, 2025
Arize AI Raises $70M Series C to Build the Gold Standard for AI Evaluation & Observability

Learn how we're shaping the future of trustworthy LLMs & AI agents, and what's next for Arize in our Series C announcement.