montecarlodata - Senior Product Marketing Manager
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
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 • 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 • Come As You Are • 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. • We are proud to be recognized for our world-class employee experience: • Monte Carlo Named 2025 Databricks Data Governance Partner of the Year https://www.montecarlodata.com/blog-2025-databricks-data-governance-partner-of-the-year/?utm_source=chatgpt.com • We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here! https://www.g2.com/reports/grid-report-for-data-observability-spring-2025.embed?featured=monte-carlo&secure%5Bgated_consumer%5D=7d02ec0a-326a-40fa-8a44-fab49f67c5f1&secure%5Btoken%5D=6b3c29d18ea50ae0005295b5c63994f97c01cae81bbd3f9ea6abff73c40fde51&utm_campaign=gate-2063400 • Monte Carlo Named to G2's Best Software Products of 2026 https://www.montecarlodata.com/blog-monte-carlo-g2-best-software-product-of-2026/ • Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025! https://www.dbta.com/Editorial/Trends-and-Applications/Trend-Setting-Products-in-Data-and-Information-Management-for-2025-167115.aspx • We are super proud to be named the 2026 Best Place to Work by Built In! https://builtin.com/awards/us/2026/best-places-to-work • Beware of Imposter Recruiters and Job Scams • All official communication from our recruiting team will come from an @montecarlodata.com http://montecarlodata.com email address. • We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process. • We will never request payment for equipment, training, or application processing. • Our open positions are always listed on our official careers page: https://jobs.ashbyhq.com/montecarlodata. • If you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at [email protected] before sharing any personal information.
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