Senior Pre-Sales Engineer, Strategic Accounts — EMEA

• Help Europe’s largest enterprises navigate the reality that trust, reliability, and observability separate an agent pilot from a production platform. • Own the technical win across strategic EMEA enterprise accounts, working alongside Account Executives on commercial strategy. • Sell into the agentic stack, where customers are deploying agents on Databricks, Snowflake, and their own platforms. • Show customers how to observe, trust, and improve those systems, from the pipelines feeding agents through to the outputs they produce. • Join a lean EMEA team covering high-value accounts, reporting into Sales and Field Engineering. • Work from London on a hybrid basis.

• Bring 3+ years in pre-sales, solutions engineering, or strategic technical account management within B2B AI-first companies and SaaS organisations, with meaningful enterprise account experience. • Bring hands-on experience of enterprise AI and agent deployments, or close work with the teams that run them. • Understand the architecture, failure modes, and operational reality of getting an agent from demo to production. • Use AI observability concepts as working vocabulary, including traces, spans, evaluations, and instrumentation. • Navigate procurement, infosec reviews, and multi-stakeholder buying committees. • Whiteboard an agent architecture and discuss ROI and competitive positioning with a VP of Data and AI in the same day. • Work self-directed, prioritising your own time and knowing when to escalate and when to push back. • Communicate credibly with platform engineers and effectively with executives.

• Bring experience with OpenTelemetry, which is highly prized here. • Know Databricks Genie, Snowflake Cortex, or similar enterprise AI platforms. • Work across the modern data stack including Snowflake, Databricks, dbt, Airflow, and BigQuery. • Bring data observability or data quality experience. • Grow existing enterprise accounts through expansion, upsell, or land-and-expand motions. • Apply MEDDPICC, Command of the Message, or similar qualification and value frameworks. • Sell into European enterprises across multiple countries and regulatory environments.

• Run technical sales cycles end to end, covering discovery, solution design, demos, POV execution, and technical close. • Design proofs of value with agreed success criteria, manage the evaluation, and deliver results that remove technical objections. • Identify and develop technical champions who will carry Monte Carlo into the next budget cycle, platform decision, or executive review. • Run briefings, workshops, and architecture reviews that position the platform as infrastructure rather than a tool. • Understand each customer’s data and AI architecture deeply, including where agents run, how they are instrumented, and where reliability breaks down. • Bring that technical point of view into every account plan and QBR. • Convert the POVs you run, scoping and technically closing every opportunity in your pipeline. • Set the trajectory for revenue growth, as closed commitments should translate into growing consumption over time.

Monte Carlo is defining an entirely new category - data observability - and is the market leader in helping companies trust their data. Working at Monte Carlo means being part of a category-creating company that's solving critical problems for data teams at some of the world's most innovative enterprises. The company has raised $236M from leading investors, including Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures, reaching unicorn status with a $1.6B valuation in 2022. Named an Inc. Best Workplace for 2024, certified as a Great Place to Work (97% of employees say it's a great place to work), and recognised by G2 as the #1 Data Observability Platform for eight consecutive quarters, Monte Carlo offers remote-first flexibility, generous benefits, and the opportunity to work with the forefront of AI and data technologies. If you're passionate about big data, want to pioneer a new space, and thrive in a fast-paced environment, Monte Carlo provides the perfect platform to accelerate your career.

• Earn on a 70/30 base-to-variable split, with variable weighted toward commit attainment so you earn more when you help close. • Pick up a revenue growth component that recognises the compounding impact of your technical work. • Own the technical win independently across strategic enterprise accounts. • Work on production AI and agent observability at a company recognised as the 2025 Databricks Data Governance Partner of the Year. • Join a platform named the number one Data Observability Platform by G2 for four consecutive quarters and included in G2’s Best Software Products of 2026. • Work somewhere named a 2026 Best Place to Work by Built In.

Monte Carlo is the agent trust platform, unifying data and agent observability so teams can 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 that shift, from human-guided agents through to fully autonomous operations. Founded in 2019 and backed by leading investors, it empowers data and AI teams to ship trusted AI at scale, and treats equality as a core tenet of its culture.