Global Head of Support Engineering

Sorry, this job was removed at 04:10 p.m. (CST) on Friday, Sep 05, 2025
Hiring Remotely in United States
Remote
160K-220K Annually
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

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 looking for a Global Head of Support Engineering to lead our Technical Support Engineering function, managing a talented team of Technical Support Engineers across the U.S. and EMEA. This role reports directly to the Head of Engineering and works closely with Product Managers, Engineers, and Go-To-Market teams to deliver exceptional technical support and world-class customer experiences.

You’ll own both the strategy and execution for support operations globally—building scalable systems, optimizing processes, and ensuring timely, high-quality responses to customer needs. If you’re passionate about building and scaling technical teams, driving customer success, and operating in a high-growth, fast-paced environment, this role is for you.


Here’s what you’ll be doing

Leadership & Team Development

  • Lead, mentor, and develop the Technical Support Engineering team; cultivate a culture of technical excellence and customer-focused problem-solving.

  • Set team goals, provide regular feedback, and create clear career paths for team members.

Operational Excellence

  • Define and optimize processes, SLAs, and escalation frameworks to ensure timely and effective resolution of customer issues.

  • Implement and monitor KPIs such as CSAT, response times, and resolution rates to drive accountability and improvement.

Customer Advocacy & Escalation Management

  • Act as the ultimate escalation point for complex or high-priority issues, ensuring rapid resolution and clear communication to internal and external stakeholders.

  • Represent the voice of the customer to internal teams, influencing product and engineering decisions to improve usability and stability.

Cross-Functional Collaboration

  • Partner closely with Product Managers and Engineers to triage critical bugs, ensure release readiness, and provide customer-driven feedback for roadmap decisions.

  • Collaborate with Customer Success and Sales to manage critical customer situations and support onboarding for strategic accounts.

Process & Tooling Innovation

  • Drive automation and tooling improvements to streamline support workflows and enable customer self-service.

  • Maintain and expand internal and external documentation to reduce ticket volume and improve customer experience.

Strategic Planning & Reporting

  • Develop and execute the long-term strategy for Support Engineering in alignment with company goals.

  • Provide regular updates to the Head of Engineering on team performance, escalations, and strategic initiatives.

We’re excited about you because you have
  • 5+ years in technical support, including 2+ years leading teams.

  • Proven experience managing support teams in a SaaS environment, ideally with distributed or remote structures.

  • Strong technical background: comfortable troubleshooting logs, querying databases, and working with APIs and debugging tools like Postman and SQL.

  • Demonstrated success in building scalable support processes and KPIs.

  • Exceptional communication skills with a strong customer-first mindset.

  • Ability to thrive in a high-growth, ambiguous startup environment with a strong bias for action.

Preferred:

  • Experience with support/ticketing systems (e.g., Zendesk, Linear), documentation tools (e.g., Notion, Confluence), and CRM systems.

  • Familiarity with data infrastructure, observability, or other complex technical products.

  • Track record of implementing automation and tooling to improve efficiency and CSAT.

#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

What the Team is Saying

Mike Ebbers
Xuanzi Han
Cassie Quan
Tim Osborn
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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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Employees work remotely.

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