Senior Product Marketing Manager
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Job Description
Senior Product Marketing Manager shaping the AI observability market narrative for Monte Carlo. Collaborating across teams to drive product positioning and go-to-market strategies.
Responsibilities:
- 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
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