Venture Capital jobs in United Kingdom

As businesses increasingly rely on data AI for competitive advantage reliability has become a non‑negotiable. Named a CBInsights AI100 company and described by Forbes as the New Relic for data Monte Carlo supports some of the world's most prestigious companies including Fox, Roche, Honeywell, and CreditKarma to deliver trustworthy data AI at scale.

Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo is powering the future of reliable data AI.

We’re looking for an experienced customer‑facing Solutions Architect who loves helping people solve problems and wants to be a major factor in the success of our largest enterprise customers. This position is for someone with a strong technical aptitude, extensive customer‑facing experience, and the ability to oversee multiple engagements.

• Be a strategic technical counterpart to the Success team at Monte Monte Carlo.
• Define project scope based on the customers' needs and requirements, guide clear outcomes, and communicate technical and value propositions.
• Deliver implementations of Monte Monte Carlo, including on complicated data lake environments.
• Define best‑practice approaches for achieving a desired technical capability through Monte Monte …
• Deliver training and enablement on advanced technical concepts to technical customers.
• Create collateral documentation and other technical materials as needed.
• Advocate on behalf of customers cross‑functionally with Product, Engineering, Support, and Sales.
• Analyze customer trends and identify opportunities to drive product consumption growth.

• 3–5 years of experience in a technical customer‑facing role, preferably within the data technology space.
• Finding creative solutions to unlock the value of our product.
• Learn our customers' data infrastructure so you can be prescriptive on how they should implement Monte Carlo.
• A firm understanding of cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, SQL, APIs; networking experience a plus.
• Experience in use‑case discovery, scoping, and delivering complex solutions to multiple audiences.
• Worked with enterprise customers before and managed multiple stakeholders and priorities.
• Been part of a high-performing team, holding ourselves to a high bar and setting ambitious goals.
• Experience identifying and improving internal and customer‑facing processes.
• Previously worked in a startup environment, with a high degree of ownership and appetite for ambiguity.
• Relentless desire to solve customer problems and chase down answers.
• Ability to travel to customer sites up to 25% of the time.

Equality is a core tenet of Monte Carlos culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

Monte Carlos 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 to Americans’ Most Loved Workplace List 2024
• Monte Carlo Named an Inc. Best Workplace for 2024
• Monte Carlo Named a Top 20 ORG For Venture Capital Funded Companies Spring 2024
• Monte Carlo Named A Top 5 ORG in San Francisco Spring 2024
• Monte Carlo Named the 2025 Databricks Governance Partner of the Year
• Monte Carlo #1 Data Observability Platform G2 for 8th Consecutive Quarters 2025

All official communication from our recruiting team will come from an @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. If you are contacted by someone claiming to represent Monte Carlo but you're unsure of their legitimacy, please reach out to us directly before sharing any personal information.

• Apache Hive
• S3
• Redshift
• Spark
• AWS
• Solr
• NoSQL
• Data Warehouse
• Internet Of Things
• Kafka
• DynamoDB
• ZooKeeper

Employment type: Full‑Time

Vacancy: 1