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Senior Solutions Architect, Post Sales (East Coast)

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. 

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

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Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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DATE POSTED
June 16, 2025

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