[Remote] Technical Account Manager at Monte Carlo Data

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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 tools (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
Nice to Have
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

Responsibilities

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

Skills

Snowflake

Databricks

BigQuery

Redshift

dbt

Airflow

Kafka

Data Observability

Data Engineering

Troubleshooting

Customer Success

Technical Workshops

Monte Carlo Data

Provides end-to-end data observability solutions

About Monte Carlo Data

Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability, allowing real-time monitoring of data freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, which assist analysts in addressing data quality issues efficiently. By integrating with communication tools like Slack and JIRA, it fits seamlessly into existing data management processes. The goal is to help businesses avoid the costs associated with bad data, making it suitable for data-dependent companies across various industries.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$229.6MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees

Benefits

Remote Work Options

Risks

Increased competition from Cribl and BigEye may impact market share.

Technical challenges in integrating with vector databases could affect performance.

New Chief Revenue Officer may lead to strategic shifts disrupting operations.

Differentiation

Monte Carlo offers end-to-end data observability for real-time data monitoring.

The platform integrates with tools like Slack, Teams, and JIRA for seamless communication.

Monte Carlo's root cause analysis speeds up data quality incident resolution.

Upsides

Growing demand for data observability tools boosts Monte Carlo's market potential.

Integration with vector databases opens new opportunities in AI model development.

Real-time data monitoring solutions are increasingly sought after by businesses.

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