Monte Carlo Data

Strategic Sales Engineer

Boston, Massachusetts, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Science, Artificial Intelligence, Enterprise SoftwareIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • Salary: Not specified

About Monte Carlo

Monte Carlo supports some of the world's most prestigious companies, including Fox, Roche, Honeywell, and CreditKarma to deliver trustworthy data + AI at scale. Named a CBInsights AI100 company and described by Forbes as the "New Relic for data". 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 solutioning, 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.

Responsibilities

  • 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.

Requirements

  • 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.

Application Instructions

  • Not specified.

Company Information

  • Company: Monte Carlo
  • Website: Not specified (Can be found through online search)
  • Culture: Monte Carlo is committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. They are proud to be recognized for their world-class employee experience and are an equal-opportunity employer.

Skills

Sales Engineering
Product Demos
Technical Requirements
Business Value Assessments
Technical Solution
Data
AI
Proof of Concept
Customer Challenges
Business Objectives

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

Benefits

Remote Work Options

Risks

Increased competition from Cribl and BigEye may impact market share.
Technical challenges in integrating with vector databases could affect performance.
New Chief Revenue Officer may lead to strategic shifts disrupting operations.

Differentiation

Monte Carlo offers end-to-end data observability for real-time data monitoring.
The platform integrates with tools like Slack, Teams, and JIRA for seamless communication.
Monte Carlo's root cause analysis speeds up data quality incident resolution.

Upsides

Growing demand for data observability tools boosts Monte Carlo's market potential.
Integration with vector databases opens new opportunities in AI model development.
Real-time data monitoring solutions are increasingly sought after by businesses.

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