---
title: 'Strategic Account Executive, London at Monte Carlo'
canonical: 'https://feeny.ai/job/strategic-account-executive-london-monte-carlo-london-a6262ksgc01z'
type: 'job'
last_seen: '2026-10-13'
---

# Strategic Account Executive, London at Monte Carlo

- **Company:** Monte Carlo
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-22
- **Last confirmed live:** 2026-10-13
- **Apply:** https://jobs.ashbyhq.com/montecarlodata/480af545-279f-4f69-b3d5-dcf719e060dc

## 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 [montecarlo.ai](https://montecarlo.ai)

About the role: Our Strategic Sales team will be accountable for driving new logos within our Global 2000 business and for continuing to share learnings and feedback with sales, marketing, product, and engineering. These individuals will help develop the upmarket playbook and figure out how to leverage wins with key accounts across every vertical, such as Pepsi, Fox, General Mills, and Amgen, to grow market share. They will be part of the fastest-growing sales team - poised to quadruple over the next few years. This role will report directly to our EMEA Sales Leader. Ideally, you would be open to coming into our office in London 1-2 days a week to work with the team.

Here’s what you’ll be doing:

- Develop and execute consultative/solution sales strategies and tactics to generate pipeline, drive sales opportunities, and deliver repeatable and predictable bookings
- Leverage ABM support to prospect into CTOs and Data Leaders
- Lead discovery process to gather Business Value Assessment (BVA) inputs
- Co-own development of BVA presentations and own presenting to prospects
- Become known as a thought leader and own executive buyer relationship, defining positive business outcomes for large enterprises
- Collaborate across all major internal functional areas (sales engineering, marketing, sales, and partnerships) and with external partners and customers.
- Research, identify, and generate new business opportunities to build and manage a sales funnel and pipeline.

We’re excited about you because you have:

- 7+ years SaaS experience with 5+ years in closing roles
- Experience selling to Global 2000 companies
- Experience in the C-suite and excellent listening skills.
- Demonstrated track record in an early-stage company or highly ambiguous environment
- Experience selling to data and engineering teams complex and technical products
- Experience in two of the following: outbound, category creation, and build vs. buy
- Proven track record of successfully closing six and seven-figure software cloud deals with prospects and customers
- Experience with consumption models (or willingness to learn) is a plus
- Experience with target account selling, solution selling, and/or consultative sales techniques; knowledge of MEDDPICC and Challenger methodologies is a plus.

## #LI-REMOTE

## #BI-REMOTE

## Why Monte Carlo

- We created the data observability category, and we're doing it again with [agent trust](https://montecarlo.ai/agent-trust) — you'll build where the market is forming, not where it's settled
- Series D, $236M raised, backed by Accel, Redpoint, Notable Capital, ICONIQ Growth, and Salesforce Ventures
- Customers include HubSpot, Fox, Nasdaq, Toast, and Mercado Libre — your work ships to enterprises with real stakes
- Snowflake Partner of the Year and a verified connector in Anthropic's Claude AI directory
- Remote-first by design since day one, and recognized as a Best Workplace for it
- Competitive compensation, equity, and a remote-first environment.

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/) 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

- [Strategic Account Executive, AMER](https://feeny.ai/job/strategic-account-executive-amer-monte-carlo-united-states-c5k0dazz9s4h) — United States
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-monte-carlo-united-states-mnmxvcd5sns7) — United States
- [Sr. Sales Engineer (Forward Deployed Engineer - Pre Sales)](https://feeny.ai/job/sr-sales-engineer-forward-deployed-engineer-pre-sales-monte-carlo-americas-8h9wt7p774ex) — Americas
- [Applied AI Engineer](https://feeny.ai/job/applied-ai-engineer-monte-carlo-americas-385312hg9b1q) — Americas
- [Strategic Sales Development Representative](https://feeny.ai/job/strategic-sales-development-representative-monte-carlo-americas-fghbgsxwt9qz) — Americas
- [Partner Manager, EMEA](https://feeny.ai/job/partner-manager-emea-monte-carlo-london-t76b7v5jfbjn) — London, United Kingdom