Monte Carlo

HQ
San Francisco
Total Offices: 5
135 Total Employees
Year Founded: 2019
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Monte Carlo Offices

Monte Carlo is headquartered in San Francisco and has 5 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Remote-first, local-second. We hire the best person for the role wherever they are, default to async, and cover coworking for everyone. Dedicated offices in eight cities for anyone who wants an in-person day. None of them required.

Typical time on-site: Not Specified

U.S. Office Locations

HQ San Francisco Bellevue Irvine Mill Valley New York
HQ
San Francisco

San Francisco Hub

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2 Embarcadero Center, 8th Floor, San Francisco, CA, United States, 94111

Bellevue

Seattle Hub

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800 Bellevue Sq, Bellevue, WA, United States, 98004

Irvine

SoCal Hub

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200 Spectrum Center Dr, Suite 300, Irvine, CA, United States, 92618

Mill Valley

Mill Valley Hub

Just off Highway 101 in Marin, with on-site gym access and an easy base for getting out into Marin County. Tuesday is the Mill Valley coworking day.

New York

New York Hub

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27 E 28th St, Suite 1656, New York, NY, United States, 10016

Recently posted jobs

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Monte Carlo

Strategic Account Executive, AMER

An Hour AgoSaved
Remote
US
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Own a 50–60-account Global 2000 territory, generate pipeline through outbound and partner channels, engage executive buyers, and close complex six- and seven-figure enterprise deals. Responsibilities include discovery, business value assessments, multi-threading, procurement and security navigation, account planning, and expanding initial wins across departments. The role also contributes competitive intelligence and helps shape Monte Carlo’s upmarket sales playbook.
Monte Carlo Logo
Monte Carlo

Senior Backend Engineer

6 Days AgoSaved
Remote
US
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Own technical sales cycles for strategic enterprise accounts, including discovery, solution design, demonstrations, proofs of value, architecture reviews, and technical close. Help customers deploy and observe AI agents across platforms such as Databricks and Snowflake. Build technical champions, navigate procurement and infosec reviews, and partner with Account Executives to drive revenue growth and expansion.
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