Senior Product Marketing Manager

🕒 May 15

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🎁 Product Marketing

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Monte Carlo

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Monte Carlo is a data observability company that provides a comprehensive platform to ensure reliable data and AI delivery. Their services include machine learning-enabled data anomaly detection, incident triaging, and root cause resolution to maintain high data quality. They offer data quality monitoring, testing, and cost optimization tools for cloud infrastructures, enabling companies to deploy and manage data with confidence. Monte Carlo is tailored for verticals such as financial services, healthcare, media, and technology, helping organizations to self-serve, maintain dashboard integrity, and launch reliable data products. Their solutions aim to eliminate data downtime and enhance operational efficiency across enterprise data landscapes.

📋 Description

• Own the AI observability category narrative — defining what it is, why it matters, and why Monte Carlo leads it — across launches, campaigns, and competitive moments • Craft differentiated positioning that lands with technical practitioners (data engineers, ML platform teams, AI engineers) and executive buyers (CDOs, CIOs, Heads of AI/ML) • Build and execute GTM plans for new product releases, including messaging frameworks, launch plans, and pricing insights • Track the competitive and adjacent landscape and translate signals into sharp positioning and field-ready battlecards • Equip the sales team to win: battlecards, objection-handling guides, and training materials that the field actually uses • Partner with content and demand gen to produce high-impact assets — whitepapers, webinars, case studies — that build pipeline • Bring customer and market intelligence directly to Product, influencing roadmap priorities

🎯 Requirements

• 3+ years in product marketing, with a background in observability (application or data) strongly preferred — you'll hit the ground running on the problem space • AI fluency: you actively use tools like Claude in your day-to-day work and apply them to drive real output — not just awareness • Sales enablement chops: you enjoy being the person the field calls, building battlecards and objection handlers, and you stick around to make sure the assets land • Demonstrated category creation or market redefinition — you've defined what a category is, not just marketed within an existing one • Strong storytelling: you can build narratives that differentiate technical products in competitive markets, and write credibly for both ML engineers and CIOs • End-to-end GTM ownership — you've owned strategy, not just execution support • Startup or scale-up experience — you're comfortable with ambiguity and move fast without a lot of structure

🏖️ Benefits

• Category leadership moment: You'd be the person defining how the market thinks about AI observability — not following a playbook, writing it • Real product differentiation: Agent Observability and the Databricks partnership give you something substantive to build a story around • Seat at the table: Direct collaboration with Product and Sales leadership, not a downstream marketing function • Company trajectory: Series D, $236M raised, expanding into the fastest-growing segment in enterprise AI