Technical Account Manager, Monte Carlo
EMEA
+ Equity
More information about location
Data observability platform
Be an early applicant
Data observability platform
201-500 employees
Be an early applicant
+ Equity
More information about location
201-500 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
Role
Who you are
- 5+ years in a customer-facing technical role such as Technical Account Manager, Solutions Architect, or Technical Customer Success Manager
- Understanding of modern data technologies — SQL and the major data warehouses (Snowflake, BigQuery, Redshift, Databricks) or orchestration tool (Airflow, dbt)
- Strong project management skills to drive success across large, complex enterprises
- Familiarity with data & AI observability, monitoring, or observability concepts — or a strong interest in learning
- Exposure to cloud infrastructure (AWS, GCP, or Azure) and APIs
- Excellent communication and storytelling skills — able to explain technical topics clearly to both engineers and executives
- A proactive, problem-solving mindset with the ability to juggle multiple priorities in a fast-paced, customer-first environment
Desirable
- Previous experience in data & AI observability, monitoring, data technology, or analytics SaaS
- Background as a data engineer or analytics lead before moving into a customer-facing role
- Knowledge of data governance, cataloging, or compliance frameworks
- Familiarity with Python, SQL, and/or scripting is a plus — or a willingness to learn quickly in these areas
What the job involves
- As a Technical Account Manager (TAM), you’ll play a pivotal role in helping enterprise customers achieve reliable data at scale
- You’ll combine technical know-how with strong relationship-building skills to ensure customers successfully adopt Monte Carlo across their modern data stack
- Own the technical relationship for some of Monte Carlo’s largest enterprise customers, guiding them through onboarding, integration, and ongoing success
- Partner with customer’s data engineering, analytics, and platform teams to embed Monte Carlo into their data ecosystem (e.g., Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Kafka)
- Help customers troubleshoot and understand complex data observability and pipeline challenges, collaborating closely with Monte Carlo’s Product, Support, and Engineering teams
- Serve as a trusted advisor, guiding customers on data & AI observability best practices that deliver measurable business impact
- Lead technical workshops, health checks, and account reviews to ensure long-term adoption and customer success
- Act as the voice of the customer, surfacing insights and feedback to shape Monte Carlo’s roadmap
- Partner closely with Sales Engineers and Solution Architects to design and proactively recommend strategies that help customers achieve their business objectives
- Build a deep understanding of each customer’s environment, use cases, and challenges to deliver expert technical guidance and support throughout their journey
- Create and execute a structured plan to drive efficient and optimized monitors across customer workloads
Salary benchmarks
Our take
Dozens of billion dollar companies have emerged with a shared focus on easing the burden on engineering teams constantly battling to guarantee reliability in their products. For example, New Relic revolutionized application observability. In the same way, Monte Carlo is tackling data observability.
The service pulls information from metadata log metrics to help teams understand their data health, and if something breaks the product will send proactive notifications. The product is an off-the-shelf SaaS offering that customers can integrate and customize over time.
The company has won some major clients including big tech companies like Affirm and Intuit, but also JetBlue, PepsiCo, CNN, The New York Times, Asics, Rivian and others from many sectors. Its goal is to help companies reduce data downtime and the time data engineers must spend on tedious data quality tasks.
'Data Observability’ became a point of furore in venture capital in 2022. For example, in the span of one week, just three companies raised more than $400 million between them. Staying at the forefront of this industry is an interesting challenge for Monte Carlo, and it met it in 2024 with product enhancements that include new GenAI capabilities for its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2022
$135m
SERIES D
Aug 2021
$60m
SERIES C
Total funding: $236m
Company HQ
Dolores Heights, San Francisco, CA
Leadership
Barr Moses
(CEO)Previously VP of Customer Success Operations for Gainsight. Originally trained as a Management Consultant with Bain & Company. Also attended Stanford where they studied Mathematics and Computer Science.
Lior Gavish
(CTO)Previously SVP of Engineering for another tech startup, Barracuda. Also previously worked for PayPal and holds an MBA from Stanford University.
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