Technical Account Manager

Reposted 5 Days Ago
4 Locations
In-Office or Remote
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Monte Carlo is building the Data & AI Observability category to accelerate the adoption of data.
The Role
As a Technical Account Manager, you will guide enterprise customers in integrating Monte Carlo's data solutions into their ecosystems, ensuring success and adoption through relationship management and technical guidance.
Summary Generated by Built In

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 hiring a Technical Account Manager (TAM) to own the technical relationship for our largest enterprise customers and drive impact across customer adoption, reliability, and long-term success.

You’ll work closely with customer data teams and internal Product, Engineering, and Sales partners to ensure Monte Carlo is successfully embedded across modern data stacks and delivers measurable business value at scale.

What You’ll Do
  • Own technical relationships for enterprise customers, guiding onboarding, integration, and long-term adoption

  • Partner with customer and internal teams to troubleshoot complex data observability challenges and deliver best practices

  • Act as a trusted advisor and voice of the customer, informing strategy, roadmap, and customer outcomes

You’re a Fit If You Have
  • 5+ years of experience in a customer-facing technical role such as TAM, Solutions Architect, or Technical CSM

  • Strong understanding of modern data technologies, including SQL, cloud data warehouses, and orchestration tools

  • Excellent communication skills with the ability to explain technical concepts to both engineers and executives

  • Strong project management skills and a proactive, customer-first mindset

Nice to Have
  • Experience with data & AI observability, monitoring, or analytics SaaS platforms

Why You’ll Love Monte Carlo
  • Work at the forefront of the data & AI observability movement, helping top data teams prevent downtime and build trust in their data.

  • Collaborate with a world-class, globally distributed team that values impact, ownership, curiosity, and empathy.

  • Partner with some of the most data-forward organizations building the next generation of data products and insights.

  • Competitive compensation, meaningful equity, and comprehensive benefits.

  • Flexible remote work, generous PTO, and a culture built on autonomy and trust.

#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 2025 Databricks Data Governance Partner of the Year

We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here!

Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!

We are super proud to be named the 2026 Best Place to Work by Built In!

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.

Top Skills

Airflow
AWS
Azure
BigQuery
Databricks
Dbt
GCP
Python
Redshift
Snowflake
SQL

What the Team is Saying

Mike Ebbers
Xuanzi Han
Cassie Quan
Tim Osborn
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The Company
HQ: San Francisco, CA
215 Employees
Year Founded: 2019

What We Do

As businesses increasingly rely on data to power digital products and drive better decision-making, it’s mission-critical that this data is accurate and reliable. Monte Carlo, the data reliability company, is the creator of the industry's first end-to-end Data & AI Observability platform. Named an Inc. Best Workplace for 2024, a DBTA Readers Choice for Best Data Observability Solution for 2024, a G2 Best Product for 2023, and the "New Relic for data" by Forbes, we've raised $236M from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures. In 2025, Monte Carlo was named Databricks Data Governance Partner of the Year and recognized by G2 as the #1 Data Observability Platform for the eighth consecutive quarter, earning top rankings in categories such as DataOps Platform and Enterprise Database Monitoring. Monte Carlo works with data-driven companies like Fox, Pepsico, Amazon, American Airlines, and other leading enterprises to help them achieve trust in data.

Why Work With Us

At Monte Carlo we believe in building our company around great talent, not the other way around. That's why we're a remote-first organization by choice.

We work fast. We solve big problems. And we have a great time doing it.

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Monte Carlo Teams

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About our Teams

Monte Carlo Offices

Remote Workspace

Employees work remotely.

Typical time on-site: None
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HQSan Francisco, CA
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Bellevue, WA
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Dublin, Ireland
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Irvine, CA
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London, GB
Mill Valley,CA
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New York, NY
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Tel Aviv-Yafo, IL
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Valencia, Valencia
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