Monte Carlo Data

Strategic Sales Engineering Manager, West/Central US

San Francisco, California, United States

Not SpecifiedCompensation
Junior (1 to 2 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & AnalyticsIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • Salary: (Salary not provided)

Monte Carlo is a rapidly growing company supporting some of the world’s most prestigious companies with reliable data + AI solutions. They are seeking a dynamic Strategic Sales Engineering Manager - West/Central US to lead a team, drive sales efforts, and expand their customer base. This role is focused on accelerating growth and expanding their footprint with large data teams.

Requirements

  • Experience: 3+ years of recent experience directly managing a team of enterprise sales engineers in a fast-paced, matrixed environment.
  • Sales Engineering Experience: 10+ years of full-cycle, B2B sales engineering experience in complex software sales.
  • Industry Knowledge: Experience in the data sector is required, including understanding of cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, and SQL.
  • Strategic Account Experience: Experience working with Global 2000 companies (over 10,000 employees) and long sales cycles.
  • Preferred Experience: Experience working in startup environments, experience working with consumption-based models, and experience leading through change.

Responsibilities

  • Team Leadership: Hire and develop a team of high-performing sales engineers.
  • Performance Management: Regularly report on team and individual results through inspection and forecasting.
  • Strategy Development: Identify and make recommendations for improvement in areas of process, efficiency, and productivity.
  • POV & Playbook Creation: Create POV and expansion playbooks to land net new deals and expand within the customer base.
  • Relationship Building: Build tight partnerships with sales leadership to define a successful and repeatable sales and expansion process.
  • Customer Understanding: Understand the challenges facing the team and clear the way to allow for success.
  • Evangelizing: Evangelize a category with enormous potential.

Application Instructions

  • (Application instructions not provided)

Company Information

  • Company: Monte Carlo
  • Description: 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.
  • Funding: Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures.
  • Culture: Equality is a core tenet of Monte Carlo's culture. They are committed to building an inclusive global team.
  • Location: Remote (West/Central US - PST/CST)
  • Reporting To: Head of Field Engineering
  • LI-REMOTE #BI-REMOTE

Skills

Team Leadership
Sales Engineering
Enterprise Sales
B2B Sales
Complex Software Sales
Data Sector Knowledge
Cloud Data Warehousing
Data Lakes
ETL Concepts
BI Solutions
SQL
Strategic Account Management
Customer Relationship Building
Process Improvement
Forecasting
Playbook Development
Partnership Building
Change Management

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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