Technical Account Manager – TAM
Comet
AWSAzureCloudGoogle Cloud PlatformKerasPythonPyTorchRayTensorflow
Technical Account Manager
Monte Carlo
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowAmazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformKafkaPythonSQL
About the role
- 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.
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 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.
- 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.
Benefits
- Competitive compensation, meaningful equity, and comprehensive benefits.
- Flexible remote work, generous PTO, and a culture built on autonomy and trust.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLSnowflakeBigQueryRedshiftDatabricksAirflowdbtPythondata observabilitymonitoring
Soft skills
project managementcommunicationproblem-solvingcustomer successcollaborationstorytellingproactive mindsetorganizational skillstechnical guidancecustomer relationship management
