Senior Product Marketing Manager

📋 Description

• Take charge of the narrative for the AI observability category — articulating its significance, the reasons it matters, and Monte Carlo's leadership in the space — across product launches, marketing campaigns, and competitive scenarios.

• Develop unique positioning that resonates with both technical practitioners (data engineers, ML platform teams, AI engineers) and executive stakeholders (CDOs, CIOs, Heads of AI/ML).

• Design and implement go-to-market (GTM) strategies for new product launches, encompassing messaging frameworks, launch plans, and pricing insights.

• Monitor the competitive landscape and adjacent markets, transforming insights into precise positioning and field-ready battlecards.

• Empower the sales team for success: create battlecards, objection-handling guides, and training materials that are practical and utilized in the field.

• Collaborate with content and demand generation teams to create impactful assets — such as whitepapers, webinars, and case studies — that effectively build the sales pipeline.

• Deliver customer and market intelligence directly to the Product team, influencing the prioritization of the product roadmap.

⛳️ Requirements

• Over 3 years of experience in product marketing, with a strong preference for a background in observability (application or data) — enabling you to quickly engage with the relevant challenges.

• Proficiency in AI: you actively utilize tools like Claude in your daily tasks and leverage them to generate tangible outcomes — rather than merely fostering awareness.

• Skills in sales enablement: you thrive as the go-to person for the field, developing battlecards and objection handlers, and ensuring that the assets are effectively implemented.

• Proven experience in category creation or market redefinition — you have defined a category, rather than just marketed within an existing one.

• Strong narrative-building abilities: you can create compelling stories that differentiate technical products in competitive environments and write credibly for both ML engineers and CIOs.

• Comprehensive GTM ownership — you have managed strategy rather than merely providing execution support.

• Experience in startup or scale-up environments — you are comfortable navigating ambiguity and can work quickly without extensive structure.

🏝️ Benefits

• Category leadership opportunity: You will be at the forefront of defining how the market perceives AI observability — not just following a playbook, but creating it.

• Genuine product differentiation: Agent Observability and the partnership with Databricks provide substantial material to craft a compelling narrative.

• A seat at the table: Engage directly with Product and Sales leadership, rather than being a downstream marketing function.

• Promising company trajectory: Series D funding, $236M raised, and expansion into the fastest-growing segment in enterprise AI.