Head of Product Marketing & Content

Remote, US Remote February 22, 2026 Full Time Ashby

About Monte Carlo

As businesses increasingly rely on data + AI for competitive advantage, reliability has become a non-negotiable. Named a CBInsights AI100 company and described by Forbes as the "New Relic for data", Monte Carlo supports some of the world's most prestigious companies, including Fox, Roche, Honeywell, and CreditKarma to deliver trustworthy data + AI at scale.

Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo is powering the future of reliable data + AI.

About the Role

We’re hiring a Head of Product Marketing & Content to own our product positioning, go-to-market strategy, and thought leadership, and to drive impact across product, sales, and brand.

You’ll bring a strong point of view on our Data + AI observability platform—its strengths, opportunities for improvement, and its value to customers—and translate that into compelling messaging, launches, and content that fuel adoption, pipeline, and long-term growth.

What You’ll Do

  • Lead positioning and messaging, partnering with senior leadership to clearly articulate the value of our platform across key segments and personas

  • Own product launches, thought leadership, and customer marketing programs, creating content and collateral that influence adoption, advocacy, and revenue

  • Build and scale a high-performing product marketing and content team, operating programmatically to deliver consistent, high-impact outcomes

You’re a Fit If You Have

  • 7+ years of B2B product marketing experience, including 2+ years in a senior or leadership role

  • Proven success leading go-to-market strategies for complex data, AI, or infrastructure products sold to enterprise buyers

  • Exceptional communication skills with the ability to distill technical concepts into clear, credible, and compelling narratives

  • Strong stakeholder management skills and the ability to drive alignment across Product, Sales, and Executive teams

Nice to Have

  • Experience in the data ecosystem, including platforms, pipelines, observability, or governance

#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.

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How to Get Hired at Monte Carlo

  • Study Monte Carlo's blog and the concept of 'data observability' deeply before applying — this isn't a company where generic SaaS knowledge is sufficient; you need to speak their language around data reliability, data downtime, and the five pillars of data observability
  • Tailor your resume aggressively for each Monte Carlo role by mirroring their exact job description language, embedding relevant data stack technologies, and quantifying your impact with business metrics — Ashby's keyword search makes this alignment directly impactful
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