---
title: 'Partner Manager, EMEA at Monte Carlo'
canonical: 'https://feeny.ai/job/partner-manager-emea-monte-carlo-london-t76b7v5jfbjn'
type: 'job'
last_seen: '2026-09-08'
---

# Partner Manager, EMEA at Monte Carlo

- **Company:** Monte Carlo
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/montecarlodata/e2518a70-55ae-4b68-bd84-44bce6e16c8c

## Job description

## About Monte Carlo

Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlodata.com http://montecarlodata.com.

The EMEA Partner Manager will be responsible for building, accelerating, and scaling Monte Carlo’s partner ecosystem across the region at a pivotal stage of our global growth. This role will serve as the in-region lead for cultivating strategic relationships with cloud providers, system integrators, and data consulting partners, enabling them to successfully position, sell, and deliver Monte Carlo’s Data Observability platform. As the connective tissue between Monte Carlo’s field teams and the broader ecosystem, the Partner Manager will drive partner-sourced pipeline, expand co-sell motions with Snowflake, Databricks, AWS, SI’s, data catalog partners, and strengthen our presence in key EMEA markets.

This is a highly strategic, outward-facing role that requires strong GTM acumen, regional nuance, and a passion for ecosystem-led growth. The ideal candidate excels at influencing cross-functional stakeholders, building scalable programs, and forging deep executive relationships that accelerate adoption and market penetration.

## WHAT YOU’LL DO

- Recruit, enable, and manage high-impact partners aligned to the EMEA revenue goals
- Build joint go-to-market plays with cloud and analytics ecosystems.
- Generate and accelerate partner-sourced and influenced opportunities.
- Execute co-marketing programs and field events with ecosystem partners.
- Drive executive relationships across cloud and SI alliance teams.

## YOU'RE A FIT IF YOU

- Have a strong track record of building and scaling partner ecosystems, and turning alliances into measurable revenue impact.
- Bring solid experience working with cloud platforms, system integrators, or data consultancies across EMEA.
- Understand regional market dynamics and know how to tailor ecosystem GTM motions for local relevance and effectiveness.
- Are skilled at developing and managing executive-level relationships with cloud and SI partner teams.
- Know how to recruit, onboard, and enable partners to drive both partner-sourced and partner-influenced pipeline.
- Have designed and executed joint GTM plays with Snowflake, Databricks, AWS, and the broader analytics ecosystem.
- Have a proven history of running field events, co-marketing programs, and campaigns that generate a strong pipeline.
- Are energized by fast-growing markets such as cloud data modernization, and view data observability as essential for customer trust and AI readiness.
- Are motivated by scaling—whether processes, partner impact, or Monte Carlo’s presence across EMEA—through a high-leverage ecosystem motion.

## YOU STAND OUT IF YOU

- Thrive in fast-moving, scrappy environments and can turn ambiguity into action.
- Work highly independently, taking ownership and driving outcomes with minimal guidance.
- Excel at coordinating cross-functional and partner teams, influencing without authority.
- Bring a builder’s mindset, creating scalable partner processes, programs, and GTM motions.
- Combine strategic thinking with hands-on execution, moving seamlessly between planning and doing.
- Stay curious about the data and AI ecosystem and translate market insights into impactful partner plays.

## #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 2025 Databricks Data Governance Partner of the Year https://www.montecarlodata.com/blog-2025-databricks-data-governance-partner-of-the-year/?utm_source=chatgpt.com

We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here! https://www.g2.com/reports/grid-report-for-data-observability-spring-2025.embed?featured=monte-carlo&secure%5Bgated_consumer%5D=7d02ec0a-326a-40fa-8a44-fab49f67c5f1&secure%5Btoken%5D=6b3c29d18ea50ae0005295b5c63994f97c01cae81bbd3f9ea6abff73c40fde51&utm_campaign=gate-2063400

Monte Carlo Named to G2's Best Software Products of 2026 https://www.montecarlodata.com/blog-monte-carlo-g2-best-software-product-of-2026/

Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025! https://www.dbta.com/Editorial/Trends-and-Applications/Trend-Setting-Products-in-Data-and-Information-Management-for-2025-167115.aspx

We are super proud to be named the 2026 Best Place to Work by Built In! https://builtin.com/awards/us/2026/best-places-to-work

Beware of Imposter Recruiters and Job Scams

- All official communication from our recruiting team will come from an @montecarlodata.com http://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 recruiting@montecarlodata.com before sharing any personal information.

## About Monte Carlo

## Company Overview
- **One-liner**: Monte Carlo provides an autonomous observability platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems.
- **Entity Type**: Private (Series D, $135M raised May 2022)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2019
- **Founders**: Not publicly listed as founders in provided sources (likely Lior Gavish as CTO and others; not explicitly named)

## Core Business
- **Primary industries**: Data infrastructure, AI observability, Software Development
- **Target customers**: Enterprise B2B – data and AI teams at large organizations (400+ enterprise customers including JetBlue, Roche)
- **Mission / purpose**: "Reduce data downtime" and enable enterprises to ship trusted AI at scale by providing reliability infrastructure for agents and data pipelines.

## Products & Services
- **Monte Carlo Platform**: An end-to-end autonomous observability platform that monitors data pipelines, agents, and AI systems in production. Includes features like anomaly detection, data lineage, and incident resolution. Type: SaaS.
- **Agent Trust Platform**: A newer capability focused on monitoring and troubleshooting AI agents in production, unifying data observability with agent observability.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private); total funding $236M (Seed, Series A $16M, Series B $25M, Series C $60M, Series D $135M)
- **Key Metric**: Total Funding $236M; Annual Revenue reported as $2M (likely placeholder/outdated – LinkedIn often shows symbolic revenue). 400+ enterprise customers, 10M tables monitored, 1,000 incidents resolved daily.
- **Notable Investors/Partners**: Accel (lead in Seed & Series A), Redpoint, Notable Capital (Series B), ICONIQ Growth (Series C), IVP (Series D). Partners include Alation, Sigma, Fivetran, Snowflake, Databricks.
- **Growth Signals**: +9.8% YoY headcount growth (212 employees), operates in 14 countries, recent launch of "Trusted Data for AI (TDAI) Advisory Council" (Aug 2024), support for Apache Kafka and vector databases (Nov 2023). Recognized by Forrester with a TEI study showing 375% ROI and $1.5M avoided losses.

## Competitive Advantages
- First-to-market autonomous observability platform combining data and agent monitoring.
- Deep integrations with modern data stacks (Snowflake, Databricks, dbt, Fivetran, Kafka) and AI frameworks.
- Strong enterprise adoption (JetBlue, Roche) and validated ROI (Forrester study).
- 80% reduction in data downtime reported by customers.

## Strategic Focus
- Expanding from data observability to "agent trust" to support the explosion of AI agents in production.
- Building out the "Monte Carlo for AI" go-to-market, with a dedicated Advisory Council.
- Scaling global presence (14 countries) and deepening partnerships with major cloud and data platforms.

## Why Work Here
- **Culture**: Values include "Measure in minutes" (urgency), "Ship and iterate" (high expectations with iteration), "Customer impact", and "Beat the odds" (ambition, learning from failure). Emphasizes a positive, team-oriented environment.
- **Work policy**: Not explicitly stated as fully remote, but based on LinkedIn locations (HQ in San Francisco, offices in multiple US cities, and distributed teams across 14 countries) it likely supports hybrid/remote. The careers page mentions "Global Office and Culture Manager".
- **Engineering culture**: High degree of execution and collaboration; tech stack includes Python, TypeScript, React, GraphQL, Snowflake, Databricks, and modern observability tools (DataDog, PagerDuty). Employees come from top tech companies (Google, Snowflake, Twilio, Confluent).
- **Perks**: Not detailed in public sources, but the "Have fun" value and focus on authenticity suggest a strong culture. Recent departures of some senior sales and marketing leaders may indicate restructuring.
- **Candidate note**: Official communication only from @montecarlo.ai emails; beware of scams.

## Sources
1. [montecarlo.ai - About Us](https://montecarlo.ai/about-us)
2. [montecarlo.ai - Homepage](https://montecarlo.ai/)
3. [Monte Carlo Careers](https://www.montecarlodata.com/careers-at-monte-carlo/)
4. [LinkedIn Company Profile](https://www.linkedin.com/company/monte-carlo-data)

## Other roles at Monte Carlo

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