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.
Location: Remote (This person will be based on the West Coast)
Department: Customer Success
Reports to: Customer Success Leadership
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 role is ideal for someone with strong technical aptitude, extensive customer-facing experience, and the ability to oversee multiple complex engagements.
As a Solutions Architect at Monte Carlo, you’ll serve as a strategic technical partner to our customers and internal teams. You’ll help define success, guide implementations in modern data environments, and ensure customers realize measurable value from the Monte Carlo platform. This role is based on the West Coast and works closely with Customer Success, Product, Engineering, Support, and Sales.
Act as a strategic technical counterpart to the Customer Success team at Monte Carlo
Define project scope based on customer needs and requirements, guide clear outcomes, and communicate technical and value propositions
Deliver Monte Carlo implementations, including in complex data lake and cloud data warehouse environments
Define and evangelize best-practice approaches for achieving desired technical capabilities using Monte Carlo
Deliver training and technical enablement on advanced concepts to technical customer audiences
Create technical collateral, documentation, and other materials as needed
Advocate on behalf of customers cross-functionally with Product, Engineering, Support, and Sales
Analyze customer trends and identify opportunities to drive increased product adoption and consumption
3–5 years of experience in a technical, customer-facing role, preferably within the data technology space
Strong technical foundation, including familiarity with cloud data warehousing, data lakes, ETL concepts and workflows, BI tools, SQL, and APIs
Experience discovering use cases, scoping solutions, and delivering complex technical engagements to multiple audiences
Experience working with enterprise customers and managing multiple stakeholders and priorities
A track record of being part of a high-performing team with ambitious goals
Experience identifying and improving internal and customer-facing processes
Previous experience in a startup or high-growth environment, with comfort navigating ambiguity and taking ownership
Experience conducting Business Value Assessments and tying technical solutions to measurable business outcomes
Networking experience or exposure to complex enterprise infrastructure
Deep familiarity with modern data stacks and observability best practices
Building trusted technical relationships with enterprise customers and internal stakeholders
Delivering successful implementations that drive measurable customer value and long-term adoption
Creating scalable best practices, documentation, and enablement that help customers and teams grow efficiently
Competitive salary and equity package
Comprehensive health, dental, and vision coverage for you and your dependents
Generous PTO, sick leave, and company holidays
Paid parental leave and family support benefits
401(k) plan and financial wellness resources
Remote-friendly culture with quarterly offsites and team gatherings
Learning and development budget to support career growth
Wellness stipend and access to mental health resources
We believe interviews should reflect the work you’ll actually do here — collaborative, thoughtful, and transparent. Interviews are conducted over Zoom unless accommodations are needed.
Recruiter chat (30–45 minutes)
Hiring manager screen (45 minutes)
Functional interview(s) focused on core skills and real-world scenarios
Team interviews with future peers and cross-functional partners
Presentation exercise
Final conversation with leadership
We aim to keep our process fast, respectful, and transparent, with clear communication throughout.
Ready to join us? Apply through our careers page. Our interview process is designed to give you a realistic preview of what it’s like to work at Monte Carlo — and for us to get to know the real you.
At Monte Carlo, our success depends on hiring great people and creating an environment where everyone can thrive, feel challenged, and do their best work.
We are an equal opportunity employer and welcome candidates from all backgrounds, experiences, and perspectives to help us build an inclusive workplace where everyone belongs.
Ability to travel to customer sites up to 25% of the time
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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
Monte Carlo Named the 2025 Databricks Governance Partner of the Year
Monte Carlo #1 Data Observability Platform G2 for 8th Consecutive Quarters 2025
Beware of Imposter Recruiters and Job Scams
All official communication from our recruiting team will come from an @montecarlodata.com email address.
We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.
We will never request payment for equipment, training, or application processing.
Our open positions are always listed on our official careers page: https://jobs.ashbyhq.com/montecarlodata.
If you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at [email protected] before sharing any personal information.
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Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Solutions Architect Q&A's