Sales Engineer
Simon Data- Full Time
- Junior (1 to 2 years)
Monte Carlo is seeking a dynamic Senior Sales Engineer to join its growing Sales Engineering team. This role is crucial to the sales engine, providing technical guidance and support to the sales team. The Senior Sales Engineer will be responsible for delivering compelling product demonstrations, successful proofs of concept, positioning the platform to diverse stakeholders, providing technical solutions, advocating for customer needs, and creating content to scale efforts. The ideal candidate thrives in fast-paced, ambiguous environments and is passionate about solving customer problems, playing a key role in scaling a high-growth startup.
About Monte Carlo: As businesses increasingly rely on data + AI for competitive advantage, reliability has become non-negotiable. Monte Carlo, named a CBInsights AI100 company and described by Forbes as the "New Relic for data," supports prestigious companies like Fox, Roche, Honeywell, and CreditKarma in delivering 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.
Culture & Values: Equality is a core tenet of Monte Carlo's culture. The company is committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Monte Carlo is an equal-opportunity employer that celebrates diversity and is committed to creating an inclusive environment for all employees.
Recognition:
Location: Boston OR New York (Strategic Sales Engineer role)
Provides end-to-end data observability solutions
Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability, allowing real-time monitoring of data freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, which assist analysts in addressing data quality issues efficiently. By integrating with communication tools like Slack and JIRA, it fits seamlessly into existing data management processes. The goal is to help businesses avoid the costs associated with bad data, making it suitable for data-dependent companies across various industries.