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Arize Logo Arize · -

Technical Product Marketing Manager

United States, San Francisco Employment contract 140000.00 - 175000.00 USD / Year · Job Posted May 05, 2026
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Job Description

We’re looking for a Technical Product Marketing Manager to own competitive intelligence and sales enablement in an AI-native workflow. This role is focused on transforming competitive noise into clear, actionable insight that directly impacts live deals. You’ll use AI tools and automation to gather raw inputs – monitoring competitors, tracking market shifts, and synthesizing signals – but your real value will be judgment. You’ll help revenue teams understand where we win, where we lose, how to position effectively, and what narratives resonate with technical buyers (eg: AI engineers, ML practitioners, or AI platform teams). This role sits at the intersection of automation and insight. You’ll help build a competitive intelligence system that gives our sales team a clear edge in deals.

Job Responsibility

  • 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

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
  • 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 have

  • 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

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