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:
Monte Carlo is growing its Sales Engineering team to accelerate our rapid growth. As a Strategic Sales Engineer, you will be a key member of the Monte Carlo sales engine and will be responsible for providing excellent technical guidance and support to the sales team. This includes delivering demos and successful evaluation processes, planning production rollouts, positioning the platform to technical and non-technical stakeholders and executives, providing technical solutions, advocating cross-functionally for the customer’s needs, and creating content to scale your work.
This will be a remote role located in the US in the Central Time Zone
Here’s what you’ll be doing:
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Evangelizing a category with enormous potential. You’ll be an early member of the go-to-market team changing the data industry.
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Owning a high degree of appetite for ambiguity. It's a startup environment. We don’t have a lot of answers; you will need to go find them
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Being part of a high-performing team. We hold ourselves to a high bar and set ambitious goals
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Traveling to customer sites up to 25% of the time
We’re excited about you because you have:
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5+ years of experience in Sales, Sales Engineering, or Customer Success for a technical product.
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Previous experience working with data products/solutions is highly preferred.
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Demonstrated track record in an early-stage company or highly ambiguous environment
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High degree of ownership. A relentless desire to solve customer problems and chase down answers
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Business acumen to drill into the value a solution such as Monte Carlo brings to our customers
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Technical acumen to understand and explain complex data architecture
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Ability to manage multiple projects simultaneously, work with different salespeople, and support other SEs where needed
Firm understanding/experience of at least some of the following: cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, and SQL
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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
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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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