Senior Pre-Sales Engineer, Strategic Accounts — EMEA

Posted Yesterday
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Hiring Remotely in London, Greater London, England, GBR
Remote or Hybrid
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Monte Carlo is building the Data & AI Observability category to enable the world's enterprises to adopt trusted AI.
The Role
Own the technical sales cycle to expand Monte Carlo within a small book of strategic EMEA accounts: run discovery, solution design, demos, POVs, and technical closes; build technical champions; map account architectures; collaborate with Growth, Acquisition Pre-Sales, and Product to drive multi-year expansion.
Summary Generated by Built In

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.

The opportunity

Our largest EMEA accounts represent significant untapped growth. This is a new role — not a backfill — designed to own the technical sales cycle for expansion within our most strategic customers. You’ll partner with Strategic Account Executives to turn deployed product and existing trust into larger, multi-year commitments.

You’ll shape this from the ground up.

What you’ll do
  • Run expansion sales cycles. Own discovery, solution design, demos, POV execution, and technical close for expansion opportunities within a small book of named strategic accounts. These are established customers — your job is to unlock the next layer: new business units, platforms, use cases, and stakeholders.

  • Build technical champions. Identify and develop the advocates inside each account who will carry Monte Carlo into the next budget cycle, platform migration, or executive review. Run briefings, workshops, and architecture reviews that position our platform as infrastructure.

  • Drive POVs that convert. When an account wants to extend Monte Carlo into a new platform, region, or team, you design the proof of value, set success criteria, and deliver a result that accelerates the commercial close.

  • Own technical account strategy. Map the whitespace in each account’s data and AI architecture. Understand where Monte Carlo sits today and where it should sit in 18 months. Bring that point of view to every account plan and QBR.

  • Collaborate across the team. Work alongside our Growth team (ongoing adoption and customer success), Acquisition Pre-Sales (net-new logos), and Product when strategic accounts surface requirements that could shape the roadmap.

What makes this different

This is not customer success with a quota, and it’s not net-new prospecting. It’s the full pre-sales technical cycle applied to accounts that already use Monte Carlo. Your starting position is stronger — deployed product, real usage data, existing relationships — but the complexity is higher: multiple stakeholders, competing priorities, and the longer procurement and infosec cycles that come with large European enterprises.

What we’re looking for
  • 5+ years in pre-sales, solutions engineering, or strategic technical account management within B2B AI-first companies and SaaS organizations — with meaningful experience in enterprise accounts. You’ve navigated procurement, infosec reviews, and multi-stakeholder buying committees.

  • Equal parts technical and commercial. You can whiteboard a data architecture and hold a conversation with a VP of Data about ROI and competitive positioning. You understand modern data platforms — warehouses, orchestration, transformation, BI — well enough to earn credibility with technical buyers.

  • Experience growing existing accounts. You’ve done expansion, upsell, or land-and-expand before — whether that was your title or simply what you did. You know why expanding an account is harder than winning a new one.

  • Self-directed and accountable. A small book of high-value accounts in a lean EMEA team. You prioritize your own time, know when to escalate, and know when to push back.

  • Strong communicator across seniority levels. Equally comfortable in a technical deep-dive with a platform engineer and presenting a business case to a C-minus-1.

Preferred, not required
  • Experience with the modern data stack: Snowflake, Databricks, dbt, Airflow, BigQuery, Spark, or similar. Data observability, data quality, or AI observability experience is a strong plus.

  • Familiarity with MEDDPICC, Command of the Message, or similar sales qualification and value frameworks.

  • Comfort with AI-augmented workflows — we operate as an AI-first company and use AI tooling extensively across the team.

  • Experience selling into European enterprises across multiple countries and regulatory environments.

How we’ll measure success
  • Revenue growth in your accounts. The primary metric. Are your accounts expanding through new use cases, platforms, and stakeholders — not just renewing flat?

  • Expansion pipeline technically qualified and closed. You own the technical execution against the expansion pipeline — ensuring every opportunity is properly scoped, proven, and technically closed.

  • Technical win rate on expansion POVs. When you run a POV from a position of strength — deployed product, real usage data — the bar for conversion is high.

  • Renewal health. You’re not the renewal owner, but your work should set every renewal up to be larger than the last.

#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

We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here!

Monte Carlo Named to G2's Best Software Products of 2026

Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!

We are super proud to be named the 2026 Best Place to Work by Built In!

Beware of Imposter Recruiters and Job Scams

  • All official communication from our recruiting team will come from an @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 [email protected] before sharing any personal information.

Skills Required

  • 5+ years in pre-sales, solutions engineering, or strategic technical account management within B2B AI-first or SaaS organizations with enterprise account experience
  • Proven experience running expansion cycles: discovery, solution design, demos, POV execution, and technical close
  • Experience navigating procurement, infosec reviews, and multi-stakeholder buying committees
  • Ability to whiteboard data architectures and discuss ROI and competitive positioning with senior technical stakeholders
  • Familiarity with modern data platforms (warehouses, orchestration, transformation, BI) sufficient to earn credibility with technical buyers
  • Proven success growing existing accounts via expansion, upsell, or land-and-expand strategies
  • Self-directed, accountable, and able to prioritize a small book of high-value accounts
  • Strong communicator across seniority levels, from platform engineers to C-level
  • Experience with Snowflake, Databricks, dbt, Airflow, BigQuery, Spark or similar modern data stack
  • Familiarity with MEDDPICC, Command of the Message, or similar sales qualification/value frameworks
  • Comfort using AI-augmented workflows and AI tooling
  • Experience selling into European enterprises across multiple countries and regulatory environments

What the Team is Saying

Mike Ebbers
Xuanzi Han
Cassie Quan
Tim Osborn

Monte Carlo Compensation & Benefits Highlights

  • Healthcare Strength Medical, dental, vision, and mental health coverage are included, alongside life and disability insurance. Wellness initiatives are also cited to support overall well‑being.
  • Parental & Family Support Generous parental leave for all parents is highlighted, with 12 weeks of paid leave cited. Company‑sponsored family events further reinforce family support.
  • Leave & Time Off Breadth Unlimited PTO is offered along with paid sick days, paid holidays, and bereavement leave. Flexible scheduling and a remote‑first setup expand practical time‑off flexibility.

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The Company
HQ: San Francisco, CA
221 Employees
Year Founded: 2019

What We Do

As businesses increasingly rely on data and AI to power digital products and drive better decision-making, it's mission-critical that this data is accurate and reliable. Monte Carlo, the data + AI observability leader, is the creator of the industry's first end-to-end Data & AI Observability platform. Our mission is to enable the world's enterprises to adopt trusted AI. In 2025, Monte Carlo launched Agent Observability — the first capability to unify observability across both data and AI stacks in a single platform — enabling teams to monitor, trace, and troubleshoot enterprise AI agents in production. A Forrester Total Economic Impact study found that Monte Carlo delivers a 358% return on investment. Recognition and awards: Named a CBInsights AI100 company and the "New Relic for data" by Forbes. G2 #1 Data Observability Platform for eight consecutive quarters. G2 Best Software Product of 2026. 2025 Databricks Data Governance Partner of the Year. DBTA Readers Choice for Best Data Observability Solution 2024 and DBTA Trend-Setting Product for 2025. We've raised $236M from Accel, ICONIQ Growth, Redpoint Ventures, IVP, and Salesforce Ventures. Data-driven companies like NASDAQ, Honeywell, Roche, Fox, American Airlines, and PepsiCo trust Monte Carlo to deliver reliable data and AI at scale.

Why Work With Us

A Built In 2026 Best Place to Work, Inc. Best Workplace 2024, and Newsweek Most Loved Workplace. We're remote-first, solving one of the biggest problems in the AI era: trust. We build fast, ship bold, and have a great time doing it. Come help the world adopt trusted AI.

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