[Remote] Strategic Sales Engineer, San Francisco at Monte Carlo Data

San Francisco, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & AI, Software/SaaS, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

Technical guidanceDemo deliveryProof of conceptCustomer engagementSolution positioningTechnical requirements analysisBusiness value assessmentRelationship buildingTravel readiness

Questions & Answers

Common questions about this position

Is this position remote or does it require office presence?

The position is remote.

What is the salary for this Strategic Sales Engineer role?

This information is not specified in the job description.

What experience and skills are required for this role?

Candidates need 5+ years of experience in Sales Engineering for a technical product, a firm understanding of data ecosystems including cloud data warehousing, data lakes, ETL, BI solutions, and SQL, plus a demonstrated track record in early-stage or ambiguous environments.

What is the company culture like at Monte Carlo?

The culture emphasizes a high-performance team environment, contributing by setting ambitious goals, maintaining high standards, a team-first mindset, collaboration, and thriving in fast-paced, ambiguous settings.

What makes a strong candidate for this Sales Engineer position?

Strong candidates have a high degree of ownership, relentless desire to solve customer problems, technical acumen to explain complex architectures, ability to connect technical solutions to business value, and a self-starter mentality comfortable with ambiguity.

Monte Carlo Data

Provides end-to-end data observability solutions

About Monte Carlo Data

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.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$229.6MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees