Full-Time

Strategic Sales Engineering Manager

Confirmed live in the last 24 hours

Monte Carlo Data

Monte Carlo Data

501-1,000 employees

Provides end-to-end data observability solutions

No salary listed

Senior, Expert

San Francisco, CA, USA

Candidates must be located in the West/Central US (PST/CST) for this remote role.

Category
Sales Engineering
Engineering Management
Sales & Solution Engineering
Required Skills
SQL
Requirements
  • 3+ years of recent experience directly managing a team of enterprise sales engineers in a fast-paced, matrixed environment.
  • 10+ years of full-cycle, B2B sales engineering experience in complex software sales; a successful track record of winning new business at the enterprise and strategic level.
  • Sales engineering experience in the data sector is required. Understanding of at least some of the following: cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, and SQL.
  • Strategic account experience - Global 2000, companies with over 10,000 employees, working long sales cycles.
Responsibilities
  • Evangelizing a category with enormous potential. You’ll be an early member of the go-to-market team that’s changing the data industry.
  • Hire and develop a team of high-performing sales engineers.
  • Regularly report on team and individual results through inspection and forecasting.
  • Identify and make recommendations for improvement in the areas of process, efficiency, and productivity.
  • Create POV and expansion playbooks to land net new deals and expand within the customer base.
  • Build tight partnerships with sales leadership further to define a successful and repeatable sales and expansion process.
  • Understand the challenges facing the team and clear the way to allow for success.
Desired Qualifications
  • Experience working in startup environments is strongly preferred.
  • Experience working with consumption-based models.

Monte Carlo Data offers end-to-end data observability solutions that help businesses monitor the status of their data in real time, focusing on freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, allowing analysts to efficiently address data quality issues and maintain stakeholder trust. By integrating with communication tools like Slack and Teams, Monte Carlo Data makes it easy for businesses to manage data incidents at scale. The company likely operates on a subscription model, serving data-dependent businesses across various sectors.

Company Size

501-1,000

Company Stage

Series D

Total Funding

$236M

Headquarters

San Francisco, California

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Launch of Observability Agents enhances data quality assurance for enterprises.
  • GenAI capabilities streamline data quality management at an enterprise scale.
  • New vector database features improve AI model reliability and data quality.

What critics are saying

  • Increased competition from Cribl and BigEye may impact market share.
  • Rapid feature expansion could strain resources and affect core offerings.
  • Vector database integration may face challenges if adoption is slow.

What makes Monte Carlo Data unique

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

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Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

-3%
TechTarget
Apr 17th, 2025
Monte Carlo launches first agents for data observability

Monte Carlo has entered the agentic AI era, launching Observability Agents on Thursday to help enterprises ensure data quality.

Business Wire
Nov 14th, 2024
Monte Carlo Announces New GenAI Capabilities to Streamline Data Quality Management at Enterprise Scale

Additionally, to help these and other data and AI reliability initiatives scale and operationalize more effectively, Monte Carlo introduced the Data Operations Dashboard, which gives insights into key operational metrics like number of incidents by data asset owner, time to detection and time to resolution.

TechTarget
Oct 7th, 2024
Monte Carlo aids data observability with root cause analysis

Data observability specialist Monte Carlo on Monday unveiled root cause analysis capabilities aimed at making it faster and easier to identify and resolve data quality incidents.

Built In
Sep 26th, 2024
Monte Carlo Appoints Chief Revenue Officer

Monte Carlo, a data observability platform, has appointed Tim Miller as its first chief revenue officer.

Datanami
Aug 1st, 2024
Monte Carlo Launches Trusted Data for AI Advisory Council with Industry Leaders

Monte Carlo launches Trusted Data for AI Advisory Council with industry leaders.