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Monte Carlo

Global Head of Field Engineering

Posted 10 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
Lead and scale the Field Engineering team at Monte Carlo, driving strategies for technical sales and optimizing customer engagement across diverse markets.
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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:

As the Global Head of Field Engineering, you will be a key leader in Monte Carlo’s go-to-market strategy, driving the vision, execution, and scaling of our global Field Engineering teams (pre-sales and post-sales). You will define and implement strategies that enhance technical sales motions, enable our sales teams, and ensure customers fully understand the value of Monte Carlo’s platform. You will work cross-functionally with sales, product, engineering, and customer success teams to advocate for customer needs while building a world-class Field Engineering organization.

This role is remote, based anywhere in the US, and will report directly to the Chief Revenue Officer.

Here’s what you’ll be doing:

  • Led and scaled a world-class Field Engineering team (Pre-sales Sales Engineers, and post-sale Solutions Architects teams) to support Monte Carlo’s rapid global growth, hiring and mentoring top talent.

  • Owning and refining technical sales strategies that align with business goals and accelerate deal cycles across diverse markets.

  • Driving technical enablement by ensuring sales engineers are equipped with the latest tools, processes, and best practices.

  • Evangelizing Monte Carlo’s solutions to enterprise customers, partners, and stakeholders through high-impact presentations, demonstrations, and proof-of-value engagements.

  • Collaborating cross-functionally with product, engineering, and customer success teams to shape product direction and enhance customer experience.

We’re excited about you because you have:

  • 10+ years of experience in Sales Engineering, Sales, or Customer Success for a technical product, with 5+ years in a leadership role.

  • Deep expertise in data products and solutions, including cloud data warehousing, data lakes, ETL workflows, BI solutions, and SQL.

  • Proven ability to build and scale high-performing teams in a fast-paced, global environment.

  • Exceptional communication skills, with the ability to translate complex technical concepts to both technical and non-technical stakeholders.

  • Strong business and technical acumen, with a data-driven approach to decision-making and strategy execution.

  • Experience working in high-growth startups or similarly ambiguous environments, demonstrating adaptability and innovation.

This role is an opportunity to lead and shape the future of Field Engineering at Monte Carlo, driving innovation and impact across the global data ecosystem.

#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 to American's Most Loved Workplace List 2024

Monte Carlo Named an Inc. Best Workplace for 2024

Monte Carlo Named A Top 20 ORG For Venture Capital Funded Companies, Spring 2024

Monte Carlo Named A Top 5 ORG in San Francisco, Spring 2024

Top Skills

Bi Solutions
Cloud Data Warehousing
Data Lakes
Etl Workflows
SQL

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