Senior Product Marketing Manager, Monte Carlo
Data observability platform
Open for applications
Data observability platform
501-1000 employees
Open for applications
501-1000 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Our take
Dozens of billion-dollar companies have emerged with a shared focus on easing the burden on engineering teams constantly battling to guarantee reliability in their products. For example, New Relic revolutionised application observability. In the same way, Monte Carlo is tackling data observability.
The service pulls information from metadata log metrics to help teams understand their data health, and if something breaks, the product will send proactive notifications. The product is an off-the-shelf SaaS offering that customers can integrate and customise over time.
The company has won some major clients including big tech companies like Affirm and Intuit, but also JetBlue, PepsiCo, CNN, The New York Times, Asics, Rivian and others from many sectors. Its goal is to help companies reduce data downtime and the time data engineers must spend on tedious data quality tasks.
'Data Observability’ became a point of furore in venture capital in 2022. For example, in the span of one week, just three companies raised more than $400 million between them. Staying at the forefront of this industry is an interesting challenge for Monte Carlo, and it met it in 2024 with product enhancements that include new GenAI capabilities for its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2022
$135m
SERIES D
Aug 2021
$60m
SERIES C
Total funding: $236m
Company HQ
Dolores Heights, San Francisco, CA
Leadership
Barr Moses
(Co-Founder & CEO)Previously VP of Customer Success Operations for Gainsight. Originally trained as a Management Consultant with Bain & Company. Also attended Stanford where they studied Mathematics and Computer Science.
Lior Gavish
(Co-Founder & CTO)Previously SVP of Engineering for another tech startup, Barracuda. Also previously worked for PayPal and holds an MBA from Stanford University.
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