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 Senior 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 proofs of concept, positioning the platform to technical and non-technical stakeholders and executives, technical solution, advocating cross-functionally for the customer’s needs, and creating content to scale your work.
We're looking for a dynamic Strategic Sales Engineer (based in Boston OR New York) who thrives in fast-paced environments, loves solving customer problems, and is excited to play a critical role in scaling a high-growth startup here at Monte Carlo. As a key partner to our sales team, you'll blend technical expertise with business acumen to drive successful outcomes for our customers.
Here's what you'll be doing:
Travel to customer sites (up to 25%) to deliver in-person engagements and build strong relationships.
Lead high-impact product demos tailored to customer challenges and priorities.
Drive the discovery process alongside AEs to uncover technical requirements and business objectives.
Define technical requirements and use cases, ensuring alignment with the customer's desired outcomes.
Co-develop Business Value Assessments (BVAs) that showcase value, ROI, and strategic fit.
Present BVAs to executive stakeholders, articulating use cases, metrics, and business impact.
Embrace ambiguity – we’re a startup. If the answer doesn’t exist, go find it or build it.
Contribute to a high-performance team culture, setting ambitious goals and holding each other to a high standard.
Build and nurture technical champions in your accounts to drive adoption and expansion.
Partner closely with sales to shape account strategy and accelerate revenue.
We're excited about you beacause you have:
5+ years of experience in Sales Engineering for a technical product.
Firm understanding of the data ecosystems, which includes cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, and SQL
Demonstrated track record in an early-stage company or highly ambiguous environment
High degree of ownership. A relentless desire to solve customer problems and chase down answers
Technical acumen to understand and explain complex architecture
Ability to manage multiple projects simultaneously, work with different sales people, and support other SE's where needed
Strong technical foundation and customer-facing experience.
Ability to connect technical solutions to business value.
Self-starter mentality with comfort navigating ambiguity.
Team-first mindset with a collaborative approach to problem-solving.
#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
Monte Carlo Named the 2025 Databricks Governance Partner of the Year
Monte Carlo #1 Data Observability Platform G2 for 8th Consecutive Quarters 2025
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.
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.

















