Monte Carlo

Data observability unicorn — first $1B+ pure-play in the category. Founded by Barr Moses (CEO) and Lior Gavish (CTO).

Services Data Observability / Data Quality
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★ ★ ★ ★ ★ New (0 reviews)
San Francisco, CA, USA HQ
201-1000 company size
2019 founded

What is Monte Carlo?

Monte Carlo is a San Francisco-based data observability platform founded in 2019 by Barr Moses (CEO) and Lior Gavish (CTO), with co-founders Itay Bleier (Head of Engineering) and Jordan Van Horn (COO). The platform helps data teams detect, resolve, and prevent data downtime — broken pipelines, schema changes, freshness issues, and unexpected anomalies — through automated lineage, anomaly detection, and incident management. Monte Carlo defined the data observability category and was the first pure-play in the space to hit unicorn status with a $1.6B valuation at its $135M Series D (January 2022). Total raised: $236M from IVP, Accel, GGV Capital, Redpoint, GIC, and Salesforce Ventures. Live openings: https://www.montecarlodata.com/careers/.

Mission & values

Help data teams trust their data — detect, resolve, and prevent data downtime through automated lineage, anomaly detection, and incident management.

Qualifications

Monte Carlo hires across engineering (data platform, full-stack, infra, ML), product, design, sales (account executives, sales engineers, customer success), marketing, and operations. Many roles are remote-friendly within the US; some require Bay Area presence. Their compensation tracks high-end Bay Area data-infra startup bands with meaningful equity. Apply via https://www.montecarlodata.com/careers/.

Leadership

B

Barr Moses

Co-Founder & CEO

Co-founded Monte Carlo in 2019 with Lior Gavish; met at Stanford in 2010. Defined the data observability category.

L

Lior Gavish

Co-Founder & CTO

I

Itay Bleier

Co-Founder & Head of Engineering

J

Jordan Van Horn

Co-Founder & COO

Hiring process

  1. 1

    Apply on montecarlodata.com/careers

    Submit application for an open role across engineering, product, sales, or customer success.

    About 1 day

  2. 2

    Recruiter screen

    Initial conversation about role and background.

    About 5 days

  3. 3

    Hiring manager interview

    Discussion of role specifics and your fit.

    About 5 days

  4. 4

    Technical / functional loop

    Multi-round interviews — for engineering, expect a coding round + system design + bar raiser.

    About 10 days

  5. 5

    Offer

    Compensation, equity, and onboarding discussion.

    About 3 days

Funding

StageSeries C+
Total raised$236,000,000
Investors
IVP Accel GGV Capital Redpoint Ventures GIC Salesforce Ventures

Awards & recognition

  • $1.6B unicorn valuation at $135M Series D · 2022

    Crunchbase News

  • First pure-play data observability unicorn · 2022

    NoCamels / TechTarget

Company information

Frequently asked questions

Who founded Monte Carlo?
Barr Moses (CEO) and Lior Gavish (CTO) co-founded Monte Carlo in 2019 with Itay Bleier (Head of Engineering) and Jordan Van Horn (COO). Moses and Gavish met at Stanford in 2010.
What is data observability?
Monte Carlo defined the category in 2019. Data observability = automated detection, resolution, and prevention of data downtime: broken pipelines, schema changes, freshness issues, and anomalies.
How is Monte Carlo funded?
$236M total: Series B $25M (Feb 2021), Series C $60M (Aug 2021), Series D $135M at a $1.6B valuation (Jan 2022). Investors: IVP, Accel, GGV Capital, Redpoint, GIC, Salesforce Ventures.
How big is Monte Carlo?
First pure-play data observability unicorn. Joins data unicorns Databricks, Fivetran, Starburst, and dbt Labs.

Stay in the loop.

One email per week, 5 hand-picked roles.