AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.
We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
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.
What you’ll doCompetitive Intelligence & Market Insight
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.
Sales Enablement & Competitive StrategyPartner 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.
AI-Native Research & Workflow DevelopmentDesign 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.
Messaging Clarity & Narrative DevelopmentTranslate 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.
Measurement & ImpactTrack 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.
Future Scope: Partner Marketing ExpansionOver time, expand scope into partner marketing initiatives, helping shape co-marketing narratives and enablement with strategic ecosystem partners.
What we’re looking for
- 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
Bonus points
- 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
Pay Range $140,000-$175,000 depending on experience
Arize’s mission is to make the world’s AI work—and work for people.
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.
Learn more about what we're doing here:
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture
- Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
- Culturally conscious events such as LGBTQ trivia during pride month
- We have an active Lady Arizers subgroup
What We Do
The leading machine learning observability platform for ML practitioners to detect and troubleshoot AI/ML model issues
