[Hiring] Senior Product Marketing Manager @Monte Carlo

Role Description

AI observability is becoming infrastructure — and someone needs to own how the market understands that. As our Senior PMM, you'll define Monte Carlo's positioning and category narrative at the exact moment enterprises are deciding who leads AI reliability. This isn't a role that reacts to market trends; it shapes them.

What You'll Do

• 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.

Qualifications

• 3+ years in product marketing, with a background in observability (application or data) strongly preferred.
• 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.

Company Description

Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• Monte Carlo Named 2025 Databricks Data Governance Partner of the Year.
• We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter.
• Monte Carlo Named to G2's Best Software Products of 2026.
• Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!
• We are super proud to be named the 2026 Best Place to Work by Built In!