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Monte Carlo

Senior Solutions Architect, Post-Sales (West Coast)

Posted 21 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in US
Mid level
Remote
Hiring Remotely in US
Mid level
As a Senior Solutions Architect, you will define project scopes, deliver complex technical solutions, and provide training to customers while managing multiple engagements. You will work closely with customers to ensure successful implementations within data environments.
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About Monte Carlo

As businesses increasingly rely on data + AI to drive competitive advantage, it’s mission-critical that they are trustworthy and reliable. Monte Carlo, the data + AI observability company, solves this problem through their fully automated, SOC-2 certified data + AI observability platform. Billed by Forbes as the New Relic for data teams and backed by Accel, Redpoint Ventures, GGV Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo empowers companies to trust their data.

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. This person will be based on the West Coast.

Here’s what you’ll be doing:

  • 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

We’re excited about you because you have:

  • 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 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

#LI-REMOTE

#LI-REMOTE

#BI-REMOTE

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.

We are proud to be recognized for our world-class employee experience:

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

Top Skills

APIs
Bi Solutions
Cloud Data Warehousing
Data Lakes
ETL
SQL

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