Responsibilities

• Own positioning and differentiation end-to-end: define what we do, who it’s for, what it replaces, and why we win. Translate complex systems into clear, defensible narratives and sharpen them through competitive analysis and win/loss insights.
• Act as the voice of the customer by synthesizing insights from sales, customer conversations, and product usage. Turn those insights into stronger positioning, clearer GTM strategy, and better product decisions.
• Lead product launches from narrative through execution, aligning product, engineering, and GTM around clear messaging, proof points, and success metrics. Ensure launches land with clarity and drive real outcomes.
• Equip sales to win through high-quality assets and proof: build sales materials, talk tracks, case studies, and benchmarks grounded in real buyer objections. Partner closely with sales and product to continuously refine what’s working.

Requirements

• Computer Science or Engineering degree
• Product Marketing Expert; product-first PMM with 5-8 years of product marketing experience in B2B enterprise software, ideally AI, data platforms, or complex technical products
• Expert in positioning and competitive strategy - You can break down ambiguous landscapes, identify real differentiation, and sharpen narratives against both vendors and “build internally”
• Strong point of view on AI buyers and use cases - you understand how technical and enterprise teams evaluate new systems, what earns trust, and where products deliver real value. You can identify high-impact use cases, prioritize target accounts, and articulate where we win (and where we don’t)
• Able to translate market insight into GTM focus - you don’t just observe trends; you turn them into clear recommendations on positioning, target segments, partnerships, and where we should lean in to win
• Strong judgment on messaging quality - you understand what resonates with technical and enterprise buyers, and create clear, compelling narratives grounded in real product value

Preferred

• Deeply embedded in the AI ecosystem - you have a strong, current point of view on the landscape: key players, model capabilities, where investment is flowing, and how the market is evolving from research to real enterprise adoption
• A clear perspective on the future of AI in the enterprise - you can articulate what it will take (trust, measurement, reliability, human-in-the-loop systems) for widespread adoption
• Experience in early-stage environments, building product marketing from the ground up at a hypergrowth company