Technical Product Marketing Manager

Arize AI•San Francisco, CA

16h

About The Position

Arize AI is seeking a Technical Product Marketing Manager to own competitive intelligence and sales enablement within an AI-native workflow. This role focuses on transforming competitive information into clear, actionable insights that directly impact live deals. The position involves using AI tools and automation for data gathering, but emphasizes human judgment to help revenue teams understand competitive advantages, positioning strategies, and effective narratives for technical buyers. The role is at the intersection of automation and insight, aiming to build a competitive intelligence system that provides a clear edge in deals.

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

Nice To Haves

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

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.