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

Applied AI Engineer

16 Days AgoSaved
Remote
United States
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.
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Monte Carlo

AI Marketing Operations Manager (GTM Engineer)

One Month AgoSaved
Remote
United States
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Design, build, and own production AI agents and automations for marketing. Integrate and instrument the marketing stack (Salesforce, HubSpot, Qualified, Clay, ZoomInfo, data warehouse), implement predictive scoring and personalization, monitor systems for reliability, and collaborate with marketing, RevOps, and sales to translate problems into deployable software.
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