Senior Product Marketing Manager

Posted 3 Days Ago
Hiring Remotely in United States
Remote
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Monte Carlo is building the Data & AI Observability category to enable the world's enterprises to adopt trusted AI.
The Role
The Senior Product Marketing Manager will lead AI observability narrative, market positioning, GTM strategies, and sales enablement to shape the market understanding of the infrastructure supporting AI reliability.
Summary Generated by Built In

About Monte Carlo

Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlodata.com.

About the Team

The Product Marketing team at Monte Carlo sits at the intersection of product, sales, and market narrative. This is a small, high-leverage team where ownership is total — you don't hand off to a copywriter or wait for a brief. You write the category story, build the sales assets, and ship the launch plan yourself.

About the Role

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

What We're Looking For
  • 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

Why you should join us
  • 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

#LI-REMOTE

#BI-REMOTE

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

We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here!

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!

Beware of Imposter Recruiters and Job Scams

  • All official communication from our recruiting team will come from an @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.

Skills Required

  • 3+ years in product marketing
  • background in observability strongly preferred
  • demonstrated category creation or market redefinition
  • end-to-end GTM ownership
  • startup or scale-up experience

What the Team is Saying

Mike Ebbers
Xuanzi Han
Cassie Quan
Tim Osborn

Monte Carlo Compensation & Benefits Highlights

  • Healthcare Strength Extensive health coverage includes medical, dental, vision, life and disability insurance, wellness programs, and mental health support. The breadth of coverage aligns with comprehensive tech-industry offerings.
  • Leave & Time Off Breadth Unlimited PTO is paired with paid holidays, sick time, and bereavement leave. Generous parental leave is also highlighted as part of the overall time-off framework.
  • Equity Value & Accessibility Company equity is included alongside core compensation. This provides long‑term upside potential as part of the total rewards package.

Monte Carlo Insights

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The Company
HQ: San Francisco, CA
221 Employees
Year Founded: 2019

What We Do

As businesses increasingly rely on data and AI to power digital products and drive better decision-making, it's mission-critical that this data is accurate and reliable. Monte Carlo, the data + AI observability leader, is the creator of the industry's first end-to-end Data & AI Observability platform. Our mission is to enable the world's enterprises to adopt trusted AI. In 2025, Monte Carlo launched Agent Observability — the first capability to unify observability across both data and AI stacks in a single platform — enabling teams to monitor, trace, and troubleshoot enterprise AI agents in production. A Forrester Total Economic Impact study found that Monte Carlo delivers a 358% return on investment. Recognition and awards: Named a CBInsights AI100 company and the "New Relic for data" by Forbes. G2 #1 Data Observability Platform for eight consecutive quarters. G2 Best Software Product of 2026. 2025 Databricks Data Governance Partner of the Year. DBTA Readers Choice for Best Data Observability Solution 2024 and DBTA Trend-Setting Product for 2025. We've raised $236M from Accel, ICONIQ Growth, Redpoint Ventures, IVP, and Salesforce Ventures. Data-driven companies like NASDAQ, Honeywell, Roche, Fox, American Airlines, and PepsiCo trust Monte Carlo to deliver reliable data and AI at scale.

Why Work With Us

A Built In 2026 Best Place to Work, Inc. Best Workplace 2024, and Newsweek Most Loved Workplace. We're remote-first, solving one of the biggest problems in the AI era: trust. We build fast, ship bold, and have a great time doing it. Come help the world adopt trusted AI.

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