Senior Product Marketing Manager

Monte Carlo Data, Inc.

Job Overview

Location

Remote, Americas

Job Type

Full-time

Full Job Description

📋 Description

• Own the end-to-end narrative and positioning for the AI observability category, defining what it is, why it matters, and why Monte Carlo leads it across product launches, campaigns, and competitive moments
• Craft differentiated messaging that resonates with both technical practitioners — including data engineers, ML platform teams, and AI engineers — and executive buyers such as CDOs, CIOs, and Heads of AI/ML
• Build and execute go-to-market (GTM) plans for new product releases, including messaging frameworks, launch timelines, pricing insights, and customer targeting strategies
• Monitor and analyze the competitive landscape and adjacent markets, translating insights into actionable positioning and field-ready battlecards for the sales team
• Develop and deliver sales enablement assets such as battlecards, objection-handling guides, and training materials that are adopted and used by the field to close deals
• Partner with content and demand generation teams to create high-impact marketing assets including whitepapers, webinars, case studies, and thought leadership content that drive pipeline and market awareness
• Translate customer and market intelligence directly into product roadmap inputs, collaborating with Product leadership to influence feature prioritization and strategic direction
• Take full ownership of category creation, not just marketing within an existing category — defining the market’s understanding of AI observability from the ground up
• Work autonomously in a fast-paced, ambiguous environment typical of a scale-up, with minimal oversight and high accountability for outcomes
• Write and own all marketing narratives without handing off to copywriters or waiting for briefs — from website copy to executive presentations
• Lead cross-functional initiatives that align Product, Sales, and Marketing to ensure consistent, credible, and compelling market messaging
• Leverage direct exposure to enterprise customers and product usage to shape authentic, data-informed stories that differentiate Monte Carlo in a crowded AI infrastructure space
• Champion the company’s Databricks partnership as a core differentiator in market positioning and customer storytelling
• Ensure all marketing initiatives are grounded in real product capabilities and customer outcomes, avoiding generic or hype-driven messaging

🎯 Requirements

• 3+ years in product marketing with experience in observability (application or data) strongly preferred
• AI fluency: actively use AI tools like Claude in day-to-day work to drive real output, not just awareness
• Proven experience in sales enablement: building battlecards, objection handlers, and training materials that the sales team actually uses
• Demonstrated track record in category creation or market redefinition, not just marketing within an established category
• Strong storytelling ability to position complex technical products for both technical and executive audiences
• Experience in a startup or scale-up environment, comfortable with ambiguity and moving fast without structured processes

🏖️ Benefits

• Lead the defining moment in shaping how the market understands AI observability — not following a playbook, writing it
• Access to real product differentiation through Agent Observability and the Databricks partnership
• Direct collaboration with Product and Sales leadership, with a seat at the strategic table
• Join a Series D company with $236M raised, positioned in the fastest-growing segment of enterprise AI

Skills & Technologies

Spring

Senior

Remote

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Monte Carlo Data, Inc.

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About Monte Carlo Data, Inc.

Monte Carlo Data, Inc. provides a data observability platform that monitors data pipelines, detects anomalies, and alerts teams to data quality issues across warehouses, lakes, and ETL systems. It automates lineage tracking, impact analysis, and root-cause investigation to reduce downtime and improve trust in analytics and machine-learning outputs. The company serves data engineers, analysts, and data scientists in finance, e-commerce, healthcare, and technology sectors, integrating with Snowflake, Databricks, BigQuery, Redshift, and Airflow to deliver real-time reliability metrics and governance controls.

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