Rodeo
ResourcesPartnersSign in

Monte Carlo

Senior Pre-Sales Engineer, Strategic Accounts — EMEA

London
Posted 1 day ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

#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 recruiting@montecarlodata.com before sharing any personal information.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Pre-Sales
Solutions Engineering
Technical Account Management
B2B
AI
SaaS
Enterprise Accounts
Data Architecture
Data Platforms
Account Expansion
Communication
Technical Sales
Data Observability
Data Quality
AI Observability
Sales Qualification

Location

London, England, United Kingdom

Sign up to applySee more jobs like this