Monte Carlo Data

Strategic Sales Engineer, Central, US

Boston, Massachusetts, United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & AI, Software/SaaS, Enterprise SoftwareIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-Time
  • Salary: Not Specified

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 accelerate rapid growth. The Senior Sales Engineer will deliver demos, proofs of concept, position the platform to diverse stakeholders, and advocate for customer needs. This position is ideal for someone who thrives in fast-paced, ambiguous environments and enjoys solving customer problems.

Requirements

  • 5+ years of experience in Sales Engineering for a technical product.
  • Firm understanding of data ecosystems, including 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 and a relentless desire to solve customer problems.
  • Technical acumen to understand and explain complex architectures.
  • Ability to manage multiple projects simultaneously, work with different sales representatives, and support other SEs.
  • 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.

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 Account Executives (AEs) to uncover technical requirements and business objectives.
  • Define technical requirements and use cases, ensuring alignment with customer 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 and proactively find solutions or build them when they don't exist.
  • Contribute to a high-performance team culture by setting ambitious goals and holding team members to a high standard.
  • Build and nurture technical champions within accounts to drive adoption and expansion.
  • Partner closely with sales to shape account strategy and accelerate revenue.

Company Information

Monte Carlo is a leader in data reliability, supporting prestigious companies like Fox, Roche, Honeywell, and CreditKarma. Named a CBInsights AI100 company and recognized by Forbes, Monte Carlo is backed by prominent investors including Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures.

Culture & Values: Monte Carlo is committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Equality is a core tenet of the company's culture. Monte Carlo is an equal-opportunity employer and celebrates diversity.

Recognitions:

  • Monte Carlo Named to America'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

#LI-REMOTE #BI-REMOTE

Skills

Technical guidance
Demo delivery
Proof of concept
Customer engagement
Solution positioning
Business requirements analysis
Technical requirements definition
Content creation
Travel coordination

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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