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.
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.
What You’ll DoOwn 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.
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.
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.
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 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.
