Monte Carlo Logo

Monte Carlo

Senior Product Marketing Manager

Reposted 4 Hours Ago
Remote
Hiring Remotely in United States
170K-200K Annually
Senior level
Remote
Hiring Remotely in United States
170K-200K Annually
Senior level
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.
The summary above was generated by AI

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.

Monte Carlo Bellevue, Washington, USA Office

800 Bellevue Way NE, Bellevue, WA, United States, 98004

Similar Jobs at Monte Carlo

Yesterday
In-Office or Remote
Seattle, WA, USA
Senior level
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
This role focuses on post-sale technical execution, ensuring customer onboarding and deployment, driving customer consumption of products, writing production code, diagnosing issues, and expanding adoption across teams.
Top Skills: AirflowDatabricksDbtFivetranLookerPythonRest ApisSnowflakeSQL
10 Days Ago
Remote
United States
Senior level
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Design, build, and own production AI agents and automations for marketing. Integrate and instrument the marketing stack (Salesforce, HubSpot, Qualified, Clay, ZoomInfo, data warehouse), implement predictive scoring and personalization, monitor systems for reliability, and collaborate with marketing, RevOps, and sales to translate problems into deployable software.
Top Skills: ClaudeClayData WarehouseHubspotLlm ApisOpenaiPythonQualifiedSalesforceZoominfo
10 Days Ago
In-Office or Remote
100K-130K Annually
Junior
100K-130K Annually
Junior
Big Data • Cloud • Software • Generative AI • Big Data Analytics
As a Technical Support Engineer, you'll diagnose and resolve technical issues, document solutions, and collaborate with engineering to improve customer experience.
Top Skills: Ai Support ToolingAirflowAWSAzureBigQueryDatabricksDbtGCPPythonSnowflakeSQL

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account