Senior Solutions Architect, Post-Sales (West Coast)

Sorry, this job was removed at 06:09 p.m. (CST) on Monday, Dec 29, 2025
3 Locations
In-Office or Remote
140K-180K Annually
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Monte Carlo is building the Data & AI Observability category to enable the world's enterprises to adopt trusted AI.
The Role

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.

Senior Solutions Architect, Post Sales (West Coast)

Location: Remote (This person will be based on the West Coast)
Department: Customer Success
Reports to: Customer Success Leadership

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 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.

What You’ll Do
  • 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

You’re a Fit If You Have
  • 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

You Stand Out If You Have
  • 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

What Success Looks Like
  • 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

Compensation & Benefits
  • 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

Our Interview Process

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.

  1. Recruiter chat (30–45 minutes)

  2. Hiring manager screen (45 minutes)

  3. Functional interview(s) focused on core skills and real-world scenarios

  4. Team interviews with future peers and cross-functional partners

  5. Presentation exercise

  6. Final conversation with leadership

We aim to keep our process fast, respectful, and transparent, with clear communication throughout.

Next Steps

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.

Monte Carlo’s Commitment to Inclusion

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.

Additional Information
  • Ability to travel to customer sites up to 25% of the time

  • #LI-REMOTE

  • #BI-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

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.

What the Team is Saying

Mike Ebbers
Xuanzi Han
Cassie Quan
Tim Osborn

Monte Carlo Compensation & Benefits Highlights

  • Healthcare Strength Listings cite medical, dental, vision, and mental health coverage, with wellness programs also mentioned. Employer materials also include life and disability insurance.
  • Leave & Time Off Breadth The company promotes unlimited PTO along with paid holidays and sick days. Materials additionally reference generous or flexible time off practices.
  • Parental & Family Support The company highlights paid parental leave, with 12 weeks specifically called out. Company-sponsored family events are also mentioned.

Monte Carlo Insights

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The Company
HQ: San Francisco, CA
221 Employees
Year Founded: 2019

What We Do

As businesses increasingly rely on data and AI to power digital products and drive better decision-making, it's mission-critical that this data is accurate and reliable. Monte Carlo, the data + AI observability leader, is the creator of the industry's first end-to-end Data & AI Observability platform. Our mission is to enable the world's enterprises to adopt trusted AI. In 2025, Monte Carlo launched Agent Observability — the first capability to unify observability across both data and AI stacks in a single platform — enabling teams to monitor, trace, and troubleshoot enterprise AI agents in production. A Forrester Total Economic Impact study found that Monte Carlo delivers a 358% return on investment. Recognition and awards: Named a CBInsights AI100 company and the "New Relic for data" by Forbes. G2 #1 Data Observability Platform for eight consecutive quarters. G2 Best Software Product of 2026. 2025 Databricks Data Governance Partner of the Year. DBTA Readers Choice for Best Data Observability Solution 2024 and DBTA Trend-Setting Product for 2025. We've raised $236M from Accel, ICONIQ Growth, Redpoint Ventures, IVP, and Salesforce Ventures. Data-driven companies like NASDAQ, Honeywell, Roche, Fox, American Airlines, and PepsiCo trust Monte Carlo to deliver reliable data and AI at scale.

Why Work With Us

A Built In 2026 Best Place to Work, Inc. Best Workplace 2024, and Newsweek Most Loved Workplace. We're remote-first, solving one of the biggest problems in the AI era: trust. We build fast, ship bold, and have a great time doing it. Come help the world adopt trusted AI.

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