Monte Carlo Data

Senior Solutions Architect, EMEA

London, England, United Kingdom

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & AI, Enterprise SoftwareIndustries

Solutions Architect - Enterprise

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


About Monte Carlo

As businesses increasingly rely on data + AI for competitive advantage, reliability has become a non-negotiable. 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.

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

We’re looking for an experienced customer-facing Solutions Architect who loves helping people, solving problems, and wants to be a major factor in the success of our largest enterprise customers. This position is for someone with a strong technical aptitude, extensive customer-facing experience, and the ability to oversee multiple engagements.


Responsibilities

  • Be a strategic technical counterpart to the Success team at Monte Carlo.
  • Define project scope based on the customer's needs and requirements, guide clear outcomes, and communicate technical and value propositions.
  • Deliver implementations of Monte Carlo, including on complicated data lake environments.
  • Define "best practice" approaches for achieving a desired technical capability through Monte Carlo.
  • Deliver training and enablement on advanced technical concepts to technical customers.
  • Create collateral, documentation, and other technical materials as needed.
  • Advocate on behalf of customers cross-functionally with Product, Engineering, Support, and Sales.
  • Analyze customer trends and identify opportunities to drive product consumption growth.

Requirements

  • 3-5 years of experience in a technical, customer-facing role, preferably within the data technology space.
  • Finding creative solutions to unlock the value of our product.
  • Learn our customers’ data infrastructure so you can be prescriptive on how they should implement Monte Carlo.
  • Firm understanding of some of the following: cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, SQL, and working with APIs.
  • Networking experience is a plus.
  • Experienced in use case discovery, scoping, and delivering complex solutions to multiple audiences.
  • Worked with Enterprise customers before and managed multiple stakeholders and priorities.
  • Been part of a high-performing team. We hold ourselves to a high bar and set ambitious goals.
  • Experience identifying and improving internal and customer-facing processes.
  • Previously worked in a startup environment. A high degree of ownership and appetite for ambiguity is critical, as well as a relentless desire to solve customer problems and chase down answers.
  • Ability to travel to customer sites up to 25% of the time.

Company Culture & Recognition

Come As You Are: Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Recognition:

  • Monte Carlo Named to American'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, Spring 2024

#LI-REMOTE

Skills

Data Infrastructure
Customer-Facing
Technical Solutions
Data Lake
Technical Documentation
Product Enablement
Cross-Functional Communication
Problem-Solving

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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